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Ghigo N, Ramos-Palacios G, Bourquin C, Xing P, Wu A, Cortés N, Ladret H, Ikan L, Casanova C, Porée J, Sadikot A, Provost J. Dynamic Ultrasound Localization Microscopy Without ECG-Gating. ULTRASOUND IN MEDICINE & BIOLOGY 2024; 50:1436-1448. [PMID: 38969526 DOI: 10.1016/j.ultrasmedbio.2024.05.023] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/07/2023] [Revised: 05/04/2024] [Accepted: 05/22/2024] [Indexed: 07/07/2024]
Abstract
OBJECTIVE Dynamic Ultrasound Localization Microscopy (DULM) has first been developed for non-invasive Pulsatility measurements in the rodent brain. DULM relies on the localization and tracking of microbubbles (MBs) injected into the bloodstream, to obtain highly resolved velocity and density cine-loops. Previous DULM techniques required ECG-gating, limiting its application to specific datasets, and increasing acquisition time. The objective of this study is to eliminate the need for ECG-gating in DULM experiments by introducing a motion-matching method for time registration. METHODS We developed a motion-matching algorithm based on tissue Doppler that leverages the cyclic tissue motion within the brain. Tissue Doppler was estimated for each group of frames in the acquisitions, at multiple locations identified as local maxima in the skin above the skull. Subsequently, each group of frames was time-registered to a reference group by delaying it based on the maximum correlation value between their respective tissue Doppler signals. This synchronization ensured that each group of frames aligned with the brain tissue motion of the reference group, and consequently, with its cardiac cycle. As a result, velocities of MBs could be averaged to retrieve flow velocity variations over time. RESULTS Initially validated in ECG-gated acquisitions in a rat model (n = 1), the proposed method was successfully applied in a mice model in 2D (n = 3) and in a feline model in 3D (n = 1). Performing time-registration with the proposed motion-matching method or by using ECG-gating leads to similar results. For the first time, dynamic velocity and density cine-loops were extracted without the need for any information on the animal ECG, and complex dynamic markers such as the Pulsatility index were estimated. CONCLUSION Results suggest that DULM can be performed without external gating, enabling the use of DULM on any ULM dataset where enough MBs are detectable. Time registration by motion-matching represents a significant advancement in DULM techniques, making DULM more accessible by simplifying its experimental complexity.
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Affiliation(s)
- Nin Ghigo
- Department of Engineering Physics, Polytechnique Montréal, Montréal, Quebec, Canada.
| | | | - Chloé Bourquin
- Department of Engineering Physics, Polytechnique Montréal, Montréal, Quebec, Canada
| | - Paul Xing
- Department of Engineering Physics, Polytechnique Montréal, Montréal, Quebec, Canada
| | - Alice Wu
- Department of Engineering Physics, Polytechnique Montréal, Montréal, Quebec, Canada
| | - Nelson Cortés
- School of Optometry, University of Montreal, Montréal, Quebec, Canada
| | - Hugo Ladret
- School of Optometry, University of Montreal, Montréal, Quebec, Canada; Institut de Neurosciences de la Timone, UMR 7289, CNRS and Aix-Marseille Université, Marseille, France
| | - Lamyae Ikan
- School of Optometry, University of Montreal, Montréal, Quebec, Canada
| | | | - Jonathan Porée
- Department of Engineering Physics, Polytechnique Montréal, Montréal, Quebec, Canada
| | - Abbas Sadikot
- Montreal Neurological Institute, McGill University, Montréal, Quebec, Canada
| | - Jean Provost
- Department of Engineering Physics, Polytechnique Montréal, Montréal, Quebec, Canada; Montreal Heart Institute, Montréal, Quebec, Canada
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Lerendegui M, Riemer K, Papageorgiou G, Wang B, Arthur L, Chavignon A, Zhang T, Couture O, Huang P, Ashikuzzaman M, Dencks S, Dunsby C, Helfield B, Jensen JA, Lisson T, Lowerison MR, Rivaz H, Samir AE, Schmitz G, Schoen S, van Sloun R, Song P, Stevens T, Yan J, Sboros V, Tang MX. ULTRA-SR Challenge: Assessment of Ultrasound Localization and TRacking Algorithms for Super-Resolution Imaging. IEEE TRANSACTIONS ON MEDICAL IMAGING 2024; 43:2970-2987. [PMID: 38607705 DOI: 10.1109/tmi.2024.3388048] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 04/14/2024]
Abstract
With the widespread interest and uptake of super-resolution ultrasound (SRUS) through localization and tracking of microbubbles, also known as ultrasound localization microscopy (ULM), many localization and tracking algorithms have been developed. ULM can image many centimeters into tissue in-vivo and track microvascular flow non-invasively with sub-diffraction resolution. In a significant community effort, we organized a challenge, Ultrasound Localization and TRacking Algorithms for Super-Resolution (ULTRA-SR). The aims of this paper are threefold: to describe the challenge organization, data generation, and winning algorithms; to present the metrics and methods for evaluating challenge entrants; and to report results and findings of the evaluation. Realistic ultrasound datasets containing microvascular flow for different clinical ultrasound frequencies were simulated, using vascular flow physics, acoustic field simulation and nonlinear bubble dynamics simulation. Based on these datasets, 38 submissions from 24 research groups were evaluated against ground truth using an evaluation framework with six metrics, three for localization and three for tracking. In-vivo mouse brain and human lymph node data were also provided, and performance assessed by an expert panel. Winning algorithms are described and discussed. The publicly available data with ground truth and the defined metrics for both localization and tracking present a valuable resource for researchers to benchmark algorithms and software, identify optimized methods/software for their data, and provide insight into the current limits of the field. In conclusion, Ultra-SR challenge has provided benchmarking data and tools as well as direct comparison and insights for a number of the state-of-the art localization and tracking algorithms.
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Chen B, de Launoit E, Meseguer D, Garcia Caceres C, Eichmann A, Renier N, Schneeberger M. The interactions between energy homeostasis and neurovascular plasticity. Nat Rev Endocrinol 2024:10.1038/s41574-024-01021-8. [PMID: 39054359 DOI: 10.1038/s41574-024-01021-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 07/10/2024] [Indexed: 07/27/2024]
Abstract
Food intake and energy expenditure are sensed and processed by multiple brain centres to uphold energy homeostasis. Evidence from the past decade points to the brain vasculature as a new critical player in regulating energy balance that functions in close association with the local neuronal networks. Nutritional imbalances alter many properties of the neurovascular system (such as neurovascular coupling and blood-brain barrier permeability), thus suggesting a bidirectional link between the nutritional milieu and neurovascular health. Increasing numbers of people are consuming a Western diet (comprising ultra-processed food with high-fat and high-sugar content) and have a sedentary lifestyle, with these factors contributing to the current obesity epidemic. Emerging pharmacological interventions (for example, glucagon-like peptide 1 receptor agonists) successfully trigger weight loss. However, whether these approaches can reverse the detrimental effects of long-term exposure to the Western diet (such as neurovascular uncoupling, neuroinflammation and blood-brain barrier disruption) and maintain stable body weight in the long-term needs to be clarified in addition to possible adverse effects. Lifestyle interventions revert the nutritional trigger for obesity and positively affect our overall health, including the cardiovascular system. This Perspective examines how lifestyle interventions affect the neurovascular system and neuronal networks.
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Affiliation(s)
- Bandy Chen
- Department of Cellular and Molecular Physiology, Yale University School of Medicine, New Haven, CT, USA.
| | - Elisa de Launoit
- Sorbonne Université, Institut Du Cerveau-Paris Brain Institute-ICM, Inserm U1127, CNRS UMR 7225, Paris, France
| | - David Meseguer
- Department of Cellular and Molecular Physiology, Yale University School of Medicine, New Haven, CT, USA
| | - Cristina Garcia Caceres
- Institute for Diabetes and Obesity, Helmholtz Diabetes Center, Helmholtz Munich & German Center for Diabetes Research (DZD), Neuherberg, Germany
- Medizinische Klinik und Poliklinik IV, Klinikum der Universität, Ludwig-Maximilians-Universität München, Munich, Germany
| | - Anne Eichmann
- Department of Cellular and Molecular Physiology, Yale University School of Medicine, New Haven, CT, USA
- Cardiovascular Research Center, Department of Internal Medicine, Yale University School of Medicine, New Haven, CT, USA
- Paris Cardiovascular Research Center, Inserm U970, Université Paris, Paris, France
| | - Nicolas Renier
- Sorbonne Université, Institut Du Cerveau-Paris Brain Institute-ICM, Inserm U1127, CNRS UMR 7225, Paris, France
| | - Marc Schneeberger
- Department of Cellular and Molecular Physiology, Yale University School of Medicine, New Haven, CT, USA.
- Wu Tsai Institute for Mind and Brain, Yale University, New Haven, CT, USA.
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4
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Lee S, Leconte A, Wu A, Kinugasa J, Porée J, Linninger A, Provost J. Functional Assessment of Cerebral Capillaries using Single Capillary Reporters in Ultrasound Localization Microscopy. ARXIV 2024:arXiv:2407.07857v2. [PMID: 39040644 PMCID: PMC11261989] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Subscribe] [Scholar Register] [Indexed: 07/24/2024]
Abstract
The brain's microvascular cerebral capillary network plays a vital role in maintaining neuronal health, yet capillary dynamics are still not well understood due to limitations in existing imaging techniques. Here, we present Single Capillary Reporters (SCaRe) for transcranial Ultrasound Localization Microscopy (ULM), a novel approach enabling non-invasive, whole-brain mapping of single capillaries and estimates of their transit-time as a neurovascular biomarker. We accomplish this first through computational Monte Carlo and ultrasound simulations of microbubbles flowing through a fully-connected capillary network. We unveil distinct capillary flow behaviors which informs methodological changes to ULM acquisitions to better capture capillaries in vivo. Subsequently, applying SCaRe-ULM in vivo, we achieve unprecedented visualization of single capillary tracks across brain regions, analysis of layer-specific capillary heterogeneous transit times (CHT), and characterization of whole microbubble trajectories from arterioles to venules. Lastly, we evaluate capillary biomarkers using injected lipopolysaccharide to induce systemic neuroinflammation and track the increase in SCaRe-ULM CHT, demonstrating the capability to detect subtle capillary functional changes. SCaRe-ULM represents a significant advance in studying microvascular dynamics, offering novel avenues for investigating capillary patterns in neurological disorders and potential diagnostic applications.
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Affiliation(s)
- Stephen Lee
- *Department of Engineering Physics, Polytechnic Montreal, 2500 Chemin de Polytechnique, Montreal, H3T 1J4, QC, CA
| | - Alexis Leconte
- *Department of Engineering Physics, Polytechnic Montreal, 2500 Chemin de Polytechnique, Montreal, H3T 1J4, QC, CA
| | - Alice Wu
- *Department of Engineering Physics, Polytechnic Montreal, 2500 Chemin de Polytechnique, Montreal, H3T 1J4, QC, CA
| | - Joshua Kinugasa
- Department of Biomedical Engineering, Chiba University, 1-33 Yayoicho, Chiba, 263-8522, JP
| | - Jonathan Porée
- *Department of Engineering Physics, Polytechnic Montreal, 2500 Chemin de Polytechnique, Montreal, H3T 1J4, QC, CA
| | - Andreas Linninger
- Department of Biomedical Engineering, University of Illinois Chicago, 1200 W Harrison St, Chicago, 60607, IL, USA
| | - Jean Provost
- *Department of Engineering Physics, Polytechnic Montreal, 2500 Chemin de Polytechnique, Montreal, H3T 1J4, QC, CA
- Montreal Heart Institute, 5000 Rue Belanger, Montreal, H1T 1C8, QC, CA
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Glück C, Zhou Q, Droux J, Chen Z, Glandorf L, Wegener S, Razansky D, Weber B, El Amki M. Pia-FLOW: Deciphering hemodynamic maps of the pial vascular connectome and its response to arterial occlusion. Proc Natl Acad Sci U S A 2024; 121:e2402624121. [PMID: 38954543 PMCID: PMC11252916 DOI: 10.1073/pnas.2402624121] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/07/2024] [Accepted: 06/04/2024] [Indexed: 07/04/2024] Open
Abstract
The pial vasculature is the sole source of blood supply to the neocortex. The brain is contained within the skull, a vascularized bone marrow with a unique anatomical connection to the brain meninges. Recent developments in tissue clearing have enabled detailed mapping of the entire pial and calvarial vasculature. However, what are the absolute flow rate values of those vascular networks? This information cannot accurately be retrieved with the commonly used bioimaging methods. Here, we introduce Pia-FLOW, a unique approach based on large-scale transcranial fluorescence localization microscopy, to attain hemodynamic imaging of the whole murine pial and calvarial vasculature at frame rates up to 1,000 Hz and spatial resolution reaching 5.4 µm. Using Pia-FLOW, we provide detailed maps of flow velocity, direction, and vascular diameters which can serve as ground-truth data for further studies, advancing our understanding of brain fluid dynamics. Furthermore, Pia-FLOW revealed that the pial vascular network functions as one unit for robust allocation of blood after stroke.
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Affiliation(s)
- Chaim Glück
- Institute of Pharmacology and Toxicology, University of Zurich, Zurich8057, Switzerland
- Neuroscience Center Zurich, University of Zurich and ETH Zurich, Zurich8057, Switzerland
| | - Quanyu Zhou
- Institute of Pharmacology and Toxicology, University of Zurich, Zurich8057, Switzerland
- Institute for Biomedical Engineering, Department of Information Technology and Electrical Engineering, ETH Zurich, Zurich8092, Switzerland
| | - Jeanne Droux
- Neuroscience Center Zurich, University of Zurich and ETH Zurich, Zurich8057, Switzerland
- Department of Neurology, University Hospital and University of Zurich, Zurich8091, Switzerland
| | - Zhenyue Chen
- Institute of Pharmacology and Toxicology, University of Zurich, Zurich8057, Switzerland
- Institute for Biomedical Engineering, Department of Information Technology and Electrical Engineering, ETH Zurich, Zurich8092, Switzerland
| | - Lukas Glandorf
- Institute of Pharmacology and Toxicology, University of Zurich, Zurich8057, Switzerland
- Institute for Biomedical Engineering, Department of Information Technology and Electrical Engineering, ETH Zurich, Zurich8092, Switzerland
| | - Susanne Wegener
- Neuroscience Center Zurich, University of Zurich and ETH Zurich, Zurich8057, Switzerland
- Department of Neurology, University Hospital and University of Zurich, Zurich8091, Switzerland
| | - Daniel Razansky
- Institute of Pharmacology and Toxicology, University of Zurich, Zurich8057, Switzerland
- Neuroscience Center Zurich, University of Zurich and ETH Zurich, Zurich8057, Switzerland
- Institute for Biomedical Engineering, Department of Information Technology and Electrical Engineering, ETH Zurich, Zurich8092, Switzerland
| | - Bruno Weber
- Institute of Pharmacology and Toxicology, University of Zurich, Zurich8057, Switzerland
- Neuroscience Center Zurich, University of Zurich and ETH Zurich, Zurich8057, Switzerland
| | - Mohamad El Amki
- Neuroscience Center Zurich, University of Zurich and ETH Zurich, Zurich8057, Switzerland
- Department of Neurology, University Hospital and University of Zurich, Zurich8091, Switzerland
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6
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Stelzer GT, Lima-Filho RAS. Amyloid-β as a Key Player in Cerebrovascular Dysfunction in Alzheimer's Disease. J Neurosci 2024; 44:e0663242024. [PMID: 38960709 PMCID: PMC11223453 DOI: 10.1523/jneurosci.0663-24.2024] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/09/2024] [Revised: 05/09/2024] [Accepted: 05/10/2024] [Indexed: 07/05/2024] Open
Affiliation(s)
- Gustavo T Stelzer
- Institute of Medical Biochemistry, Federal University of Rio de Janeiro, Rio de Janeiro 21941-590, Brazil
| | - Ricardo A S Lima-Filho
- Institute of Medical Biochemistry, Federal University of Rio de Janeiro, Rio de Janeiro 21941-590, Brazil
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7
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Nyúl-Tóth Á, Negri S, Sanford M, Jiang R, Patai R, Budda M, Petersen B, Pinckard J, Chandragiri SS, Shi H, Reyff Z, Ballard C, Gulej R, Csik B, Ferrier J, Balasubramanian P, Yabluchanskiy A, Cleuren A, Conley S, Ungvari Z, Csiszar A, Tarantini S. Novel intravital approaches to quantify deep vascular structure and perfusion in the aging mouse brain using ultrasound localization microscopy (ULM). J Cereb Blood Flow Metab 2024:271678X241260526. [PMID: 38867576 DOI: 10.1177/0271678x241260526] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 06/14/2024]
Abstract
Intra-vital visualization of deep cerebrovascular structures and blood flow in the aging brain has been a difficult challenge in the field of neurovascular research, especially when considering the key role played by the cerebrovasculature in the pathogenesis of both vascular cognitive impairment and dementia (VCID) and Alzheimer's disease (AD). Traditional imaging methods face difficulties with the thicker skull of older brains, making high-resolution imaging and cerebral blood flow (CBF) assessment challenging. However, functional ultrasound (fUS) imaging, an emerging non-invasive technique, provides real-time CBF insights with notable spatial-temporal resolution. This study introduces an enhanced longitudinal fUS method for aging brains. Using elderly (24-month C57BL/6) mice, we detail replacing the skull with a polymethylpentene window for consistent fUS imaging over extended periods. Ultrasound localization mapping (ULM), involving the injection of a microbubble (<<10 μm) suspension allows for recording of high-resolution microvascular vessels and flows. ULM relies on the localization and tracking of single circulating microbubbles in the blood flow. A FIJI-based analysis interprets these high-quality ULM visuals. Testing on older mouse brains, our method successfully unveils intricate vascular specifics even in-depth, showcasing its utility for longitudinal studies that require ongoing evaluations of CBF and vascular aspects in aging-focused research.
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Affiliation(s)
- Ádám Nyúl-Tóth
- Vascular Cognitive Impairment, Neurodegeneration and Healthy Brain Aging Program, Department of Neurosurgery, University of Oklahoma Health Sciences Center, Oklahoma City, OK, USA
- Oklahoma Center for Geroscience and Healthy Brain Aging, University of Oklahoma Health Sciences Center, Oklahoma City, OK, USA
- International Training Program in Geroscience, Doctoral School of Basic and Translational Medicine/Department of Public Health, Semmelweis University, Budapest, Hungary
| | - Sharon Negri
- Vascular Cognitive Impairment, Neurodegeneration and Healthy Brain Aging Program, Department of Neurosurgery, University of Oklahoma Health Sciences Center, Oklahoma City, OK, USA
- Oklahoma Center for Geroscience and Healthy Brain Aging, University of Oklahoma Health Sciences Center, Oklahoma City, OK, USA
- Stephenson Cancer Center, University of Oklahoma, Oklahoma City, OK, USA
| | - Madison Sanford
- Vascular Cognitive Impairment, Neurodegeneration and Healthy Brain Aging Program, Department of Neurosurgery, University of Oklahoma Health Sciences Center, Oklahoma City, OK, USA
- Oklahoma Center for Geroscience and Healthy Brain Aging, University of Oklahoma Health Sciences Center, Oklahoma City, OK, USA
- Stephenson Cancer Center, University of Oklahoma, Oklahoma City, OK, USA
| | - Raymond Jiang
- Vascular Cognitive Impairment, Neurodegeneration and Healthy Brain Aging Program, Department of Neurosurgery, University of Oklahoma Health Sciences Center, Oklahoma City, OK, USA
- Oklahoma Center for Geroscience and Healthy Brain Aging, University of Oklahoma Health Sciences Center, Oklahoma City, OK, USA
| | - Roland Patai
- Vascular Cognitive Impairment, Neurodegeneration and Healthy Brain Aging Program, Department of Neurosurgery, University of Oklahoma Health Sciences Center, Oklahoma City, OK, USA
- Oklahoma Center for Geroscience and Healthy Brain Aging, University of Oklahoma Health Sciences Center, Oklahoma City, OK, USA
| | - Madeline Budda
- Oklahoma Center for Geroscience and Healthy Brain Aging, University of Oklahoma Health Sciences Center, Oklahoma City, OK, USA
- Department of Cellular Biology, University of Oklahoma Health Sciences Center, Oklahoma City, OK, USA
| | - Benjamin Petersen
- Vascular Cognitive Impairment, Neurodegeneration and Healthy Brain Aging Program, Department of Neurosurgery, University of Oklahoma Health Sciences Center, Oklahoma City, OK, USA
- Oklahoma Center for Geroscience and Healthy Brain Aging, University of Oklahoma Health Sciences Center, Oklahoma City, OK, USA
| | - Jessica Pinckard
- Oklahoma Center for Geroscience and Healthy Brain Aging, University of Oklahoma Health Sciences Center, Oklahoma City, OK, USA
- Department of Cellular Biology, University of Oklahoma Health Sciences Center, Oklahoma City, OK, USA
| | - Siva Sai Chandragiri
- Vascular Cognitive Impairment, Neurodegeneration and Healthy Brain Aging Program, Department of Neurosurgery, University of Oklahoma Health Sciences Center, Oklahoma City, OK, USA
| | - Helen Shi
- Vascular Cognitive Impairment, Neurodegeneration and Healthy Brain Aging Program, Department of Neurosurgery, University of Oklahoma Health Sciences Center, Oklahoma City, OK, USA
| | - Zeke Reyff
- Vascular Cognitive Impairment, Neurodegeneration and Healthy Brain Aging Program, Department of Neurosurgery, University of Oklahoma Health Sciences Center, Oklahoma City, OK, USA
- Oklahoma Center for Geroscience and Healthy Brain Aging, University of Oklahoma Health Sciences Center, Oklahoma City, OK, USA
| | - Cade Ballard
- Vascular Cognitive Impairment, Neurodegeneration and Healthy Brain Aging Program, Department of Neurosurgery, University of Oklahoma Health Sciences Center, Oklahoma City, OK, USA
- Oklahoma Center for Geroscience and Healthy Brain Aging, University of Oklahoma Health Sciences Center, Oklahoma City, OK, USA
| | - Rafal Gulej
- Vascular Cognitive Impairment, Neurodegeneration and Healthy Brain Aging Program, Department of Neurosurgery, University of Oklahoma Health Sciences Center, Oklahoma City, OK, USA
| | - Boglarka Csik
- Vascular Cognitive Impairment, Neurodegeneration and Healthy Brain Aging Program, Department of Neurosurgery, University of Oklahoma Health Sciences Center, Oklahoma City, OK, USA
- Oklahoma Center for Geroscience and Healthy Brain Aging, University of Oklahoma Health Sciences Center, Oklahoma City, OK, USA
- Stephenson Cancer Center, University of Oklahoma, Oklahoma City, OK, USA
| | | | - Priya Balasubramanian
- Vascular Cognitive Impairment, Neurodegeneration and Healthy Brain Aging Program, Department of Neurosurgery, University of Oklahoma Health Sciences Center, Oklahoma City, OK, USA
| | - Andriy Yabluchanskiy
- Vascular Cognitive Impairment, Neurodegeneration and Healthy Brain Aging Program, Department of Neurosurgery, University of Oklahoma Health Sciences Center, Oklahoma City, OK, USA
- Oklahoma Center for Geroscience and Healthy Brain Aging, University of Oklahoma Health Sciences Center, Oklahoma City, OK, USA
- Stephenson Cancer Center, University of Oklahoma, Oklahoma City, OK, USA
| | - Audrey Cleuren
- Cardiovascular Biology Research Program, Oklahoma Medical Research Foundation, Oklahoma City, OK, USA
| | - Shannon Conley
- Oklahoma Center for Geroscience and Healthy Brain Aging, University of Oklahoma Health Sciences Center, Oklahoma City, OK, USA
- Department of Cellular Biology, University of Oklahoma Health Sciences Center, Oklahoma City, OK, USA
| | - Zoltan Ungvari
- Vascular Cognitive Impairment, Neurodegeneration and Healthy Brain Aging Program, Department of Neurosurgery, University of Oklahoma Health Sciences Center, Oklahoma City, OK, USA
- Oklahoma Center for Geroscience and Healthy Brain Aging, University of Oklahoma Health Sciences Center, Oklahoma City, OK, USA
- International Training Program in Geroscience, Doctoral School of Basic and Translational Medicine/Department of Public Health, Semmelweis University, Budapest, Hungary
- Department of Public Health, Semmelweis University, Semmelweis University, Budapest, Hungary
- Department of Health Promotion Sciences, College of Public Health, University of Oklahoma Health Sciences Center, Oklahoma City, OK, USA
| | - Anna Csiszar
- Vascular Cognitive Impairment, Neurodegeneration and Healthy Brain Aging Program, Department of Neurosurgery, University of Oklahoma Health Sciences Center, Oklahoma City, OK, USA
- Oklahoma Center for Geroscience and Healthy Brain Aging, University of Oklahoma Health Sciences Center, Oklahoma City, OK, USA
- International Training Program in Geroscience, Doctoral School of Basic and Translational Medicine/Department of Public Health, Semmelweis University, Budapest, Hungary
| | - Stefano Tarantini
- Vascular Cognitive Impairment, Neurodegeneration and Healthy Brain Aging Program, Department of Neurosurgery, University of Oklahoma Health Sciences Center, Oklahoma City, OK, USA
- Oklahoma Center for Geroscience and Healthy Brain Aging, University of Oklahoma Health Sciences Center, Oklahoma City, OK, USA
- Stephenson Cancer Center, University of Oklahoma, Oklahoma City, OK, USA
- Department of Health Promotion Sciences, College of Public Health, University of Oklahoma Health Sciences Center, Oklahoma City, OK, USA
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8
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Goudot G, Jimenez A, Mohamedi N, Sitruk J, Wang LZ, Khider L, Bruneval P, Messas E, Pernot M, Mirault T. Vasa vasorum interna in the carotid wall of active forms of Takayasu arteritis evidenced by ultrasound localization microscopy. Vasc Med 2024; 29:296-301. [PMID: 38488572 DOI: 10.1177/1358863x241228262] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 03/22/2024]
Abstract
Introduction: Takayasu arteritis (TA) is associated with microvascularization of the wall of large arteries and is related to inflammation. Ultrasound localization microscopy (ULM), combining ultrafast ultrasound imaging with microbubble (MB) injection, can track the path of MBs within the arterial wall and thus provide imaging of the vasa vasorum. From the analysis of MB tracks in the common carotid arteries of patients with active TA, we report the presence of microvessels in connection with the carotid lumen (i.e., vasa vasorum interna [VVI]). Methods: ULM maps were obtained on five patients with active disease in the observational single-center series of the TAK-UF study. MB tracks connected to the carotid lumen were automatically identified, allowing the reconstruction of VVI. Results: MB tracking allows us to observe a microvascular network on the inner part of the wall, with some vessels in communication with the carotid lumen. This type of vessel was identified in all patients with active TA (n = 5) with a median of 2.2 [1.1-3.0] vessels per acquisition (2D longitudinal view of 3 cm of the common carotid artery). The blood flow within these vessels is mainly centrifugal; that is, toward the adventitia (88% [54-100] of MB tracks with flow directed to the outer part of the wall). Conclusion: VVI are present in humans in the case of active TA and emphasize the involvement of the intima in the pathological process. ClinicalTrials.gov Identifier: NCT03956394.
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Affiliation(s)
- Guillaume Goudot
- Université Paris Cité, INSERM U970 PARCC, Paris, France
- Vascular Medicine Department, Georges Pompidou European Hospital, APHP, Paris, France
| | - Anatole Jimenez
- Physics for Medicine Paris, INSERM U1273, ESPCI Paris, CNRS FRE 2031, PSL Research University, Paris, France
| | - Nassim Mohamedi
- Université Paris Cité, INSERM U970 PARCC, Paris, France
- Vascular Medicine Department, Georges Pompidou European Hospital, APHP, Paris, France
| | - Jonas Sitruk
- Université Paris Cité, INSERM U970 PARCC, Paris, France
- Vascular Medicine Department, Georges Pompidou European Hospital, APHP, Paris, France
| | - Louise Z Wang
- Université Paris Cité, INSERM U970 PARCC, Paris, France
- Vascular Medicine Department, Georges Pompidou European Hospital, APHP, Paris, France
| | - Lina Khider
- Université Paris Cité, INSERM U970 PARCC, Paris, France
- Vascular Medicine Department, Georges Pompidou European Hospital, APHP, Paris, France
| | - Patrick Bruneval
- Cardiology Department, Georges Pompidou European Hospital, APHP, Université Paris Cité, Paris, France
| | - Emmanuel Messas
- Université Paris Cité, INSERM U970 PARCC, Paris, France
- Vascular Medicine Department, Georges Pompidou European Hospital, APHP, Paris, France
| | - Mathieu Pernot
- Physics for Medicine Paris, INSERM U1273, ESPCI Paris, CNRS FRE 2031, PSL Research University, Paris, France
| | - Tristan Mirault
- Université Paris Cité, INSERM U970 PARCC, Paris, France
- Vascular Medicine Department, Georges Pompidou European Hospital, APHP, Paris, France
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9
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Yan J, Huang B, Tonko J, Toulemonde M, Hansen-Shearer J, Tan Q, Riemer K, Ntagiantas K, Chowdhury RA, Lambiase PD, Senior R, Tang MX. Transthoracic ultrasound localization microscopy of myocardial vasculature in patients. Nat Biomed Eng 2024; 8:689-700. [PMID: 38710839 PMCID: PMC11250254 DOI: 10.1038/s41551-024-01206-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/24/2023] [Accepted: 03/30/2024] [Indexed: 05/08/2024]
Abstract
Myocardial microvasculature and haemodynamics are indicative of potential microvascular diseases for patients with symptoms of coronary heart disease in the absence of obstructive coronary arteries. However, imaging microvascular structure and flow within the myocardium is challenging owing to the small size of the vessels and the constant movement of the patient's heart. Here we show the feasibility of transthoracic ultrasound localization microscopy for imaging myocardial microvasculature and haemodynamics in explanted pig hearts and in patients in vivo. Through a customized data-acquisition and processing pipeline with a cardiac phased-array probe, we leveraged motion correction and tracking to reconstruct the dynamics of microcirculation. For four patients, two of whom had impaired myocardial function, we obtained super-resolution images of myocardial vascular structure and flow using data acquired within a breath hold. Myocardial ultrasound localization microscopy may facilitate the understanding of myocardial microcirculation and the management of patients with cardiac microvascular diseases.
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Affiliation(s)
- Jipeng Yan
- Ultrasound Lab for Imaging and Sensing, Department of Bioengineering, Imperial College London, London, UK
| | - Biao Huang
- Ultrasound Lab for Imaging and Sensing, Department of Bioengineering, Imperial College London, London, UK
| | - Johanna Tonko
- Institute of Cardiovascular Science, University College London, London, UK
| | - Matthieu Toulemonde
- Ultrasound Lab for Imaging and Sensing, Department of Bioengineering, Imperial College London, London, UK
| | - Joseph Hansen-Shearer
- Ultrasound Lab for Imaging and Sensing, Department of Bioengineering, Imperial College London, London, UK
| | - Qingyuan Tan
- Ultrasound Lab for Imaging and Sensing, Department of Bioengineering, Imperial College London, London, UK
| | - Kai Riemer
- Ultrasound Lab for Imaging and Sensing, Department of Bioengineering, Imperial College London, London, UK
| | | | - Rasheda A Chowdhury
- Faculty of Medicine, National Heart and Lung Institute, Imperial College London, London, UK
| | - Pier D Lambiase
- Institute of Cardiovascular Science, University College London, London, UK
| | - Roxy Senior
- Faculty of Medicine, National Heart and Lung Institute, Imperial College London, London, UK
- Royal Brompton Hospital, London, UK
- Northwick Park Hospital, Harrow, UK
| | - Meng-Xing Tang
- Ultrasound Lab for Imaging and Sensing, Department of Bioengineering, Imperial College London, London, UK.
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10
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Ohlendorf R, Li N, Phi Van VD, Schwalm M, Ke Y, Dawson M, Jiang Y, Das S, Stallings B, Zheng WT, Jasanoff A. Imaging bioluminescence by detecting localized haemodynamic contrast from photosensitized vasculature. Nat Biomed Eng 2024; 8:775-786. [PMID: 38730257 DOI: 10.1038/s41551-024-01210-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/22/2023] [Accepted: 03/30/2024] [Indexed: 05/12/2024]
Abstract
Bioluminescent probes are widely used to monitor biomedically relevant processes and cellular targets in living animals. However, the absorption and scattering of visible light by tissue drastically limit the depth and resolution of the detection of luminescence. Here we show that bioluminescent sources can be detected with magnetic resonance imaging by leveraging the light-mediated activation of vascular cells expressing a photosensitive bacterial enzyme that causes the conversion of bioluminescent emission into local changes in haemodynamic contrast. In the brains of rats with photosensitized vasculature, we used magnetic resonance imaging to volumetrically map bioluminescent xenografts and cell populations virally transduced to express luciferase. Detecting bioluminescence-induced haemodynamic signals from photosensitized vasculature will extend the applications of bioluminescent probes.
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Affiliation(s)
- Robert Ohlendorf
- Department of Biological Engineering, Massachusetts Institute of Technology, Cambridge, MA, USA
- Max Planck Institute for Biological Cybernetics, Tubingen, Germany
| | - Nan Li
- Department of Biological Engineering, Massachusetts Institute of Technology, Cambridge, MA, USA
- Advanced Imaging Research Center and Department of Neuroscience, University of Texas Southwestern Medical Center, Dallas, TX, USA
| | - Valerie Doan Phi Van
- Department of Biological Engineering, Massachusetts Institute of Technology, Cambridge, MA, USA
| | - Miriam Schwalm
- Department of Biological Engineering, Massachusetts Institute of Technology, Cambridge, MA, USA
| | - Yuting Ke
- Department of Biological Engineering, Massachusetts Institute of Technology, Cambridge, MA, USA
| | - Miranda Dawson
- Department of Biological Engineering, Massachusetts Institute of Technology, Cambridge, MA, USA
| | - Ying Jiang
- Department of Biological Engineering, Massachusetts Institute of Technology, Cambridge, MA, USA
| | - Sayani Das
- Department of Biological Engineering, Massachusetts Institute of Technology, Cambridge, MA, USA
| | - Brenna Stallings
- Department of Biological Engineering, Massachusetts Institute of Technology, Cambridge, MA, USA
| | - Wen Ting Zheng
- Department of Biological Engineering, Massachusetts Institute of Technology, Cambridge, MA, USA
| | - Alan Jasanoff
- Department of Biological Engineering, Massachusetts Institute of Technology, Cambridge, MA, USA.
- Department of Brain and Cognitive Sciences, Massachusetts Institute of Technology, Cambridge, MA, USA.
- Department of Nuclear Science and Engineering, Massachusetts Institute of Technology, Cambridge, MA, USA.
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11
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Rabut C, Norman SL, Griggs WS, Russin JJ, Jann K, Christopoulos V, Liu C, Andersen RA, Shapiro MG. Functional ultrasound imaging of human brain activity through an acoustically transparent cranial window. Sci Transl Med 2024; 16:eadj3143. [PMID: 38809965 DOI: 10.1126/scitranslmed.adj3143] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/19/2023] [Accepted: 05/07/2024] [Indexed: 05/31/2024]
Abstract
Visualization of human brain activity is crucial for understanding normal and aberrant brain function. Currently available neural activity recording methods are highly invasive, have low sensitivity, and cannot be conducted outside of an operating room. Functional ultrasound imaging (fUSI) is an emerging technique that offers sensitive, large-scale, high-resolution neural imaging; however, fUSI cannot be performed through the adult human skull. Here, we used a polymeric skull replacement material to create an acoustic window compatible with fUSI to monitor adult human brain activity in a single individual. Using an in vitro cerebrovascular phantom to mimic brain vasculature and an in vivo rodent cranial defect model, first, we evaluated the fUSI signal intensity and signal-to-noise ratio through polymethyl methacrylate (PMMA) cranial implants of different thicknesses or a titanium mesh implant. We found that rat brain neural activity could be recorded with high sensitivity through a PMMA implant using a dedicated fUSI pulse sequence. We then designed a custom ultrasound-transparent cranial window implant for an adult patient undergoing reconstructive skull surgery after traumatic brain injury. We showed that fUSI could record brain activity in an awake human outside of the operating room. In a video game "connect the dots" task, we demonstrated mapping and decoding of task-modulated cortical activity in this individual. In a guitar-strumming task, we mapped additional task-specific cortical responses. Our proof-of-principle study shows that fUSI can be used as a high-resolution (200 μm) functional imaging modality for measuring adult human brain activity through an acoustically transparent cranial window.
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Affiliation(s)
- Claire Rabut
- Division of Chemistry and Chemical Engineering, California Institute of Technology, Pasadena, CA 91125, USA
| | - Sumner L Norman
- Division of Biology and Biological Engineering, California Institute of Technology, Pasadena, CA 91125, USA
| | - Whitney S Griggs
- Division of Biology and Biological Engineering, California Institute of Technology, Pasadena, CA 91125, USA
| | - Jonathan J Russin
- USC Neurorestoration Center and the Departments of Neurosurgery and Neurology, University of Southern California, Los Angeles, CA 90033, USA
| | - Kay Jann
- Stevens Neuroimaging and Informatics Institute, University of Southern California, Los Angeles, CA 90033, USA
| | | | - Charles Liu
- Division of Biology and Biological Engineering, California Institute of Technology, Pasadena, CA 91125, USA
- USC Neurorestoration Center and the Departments of Neurosurgery and Neurology, University of Southern California, Los Angeles, CA 90033, USA
- Rancho Los Amigos National Rehabilitation Center, Downey, CA 90242, USA
| | - Richard A Andersen
- Division of Biology and Biological Engineering, California Institute of Technology, Pasadena, CA 91125, USA
- T&C Chen Brain-Machine Interface Center, California Institute of Technology, Pasadena, CA 91125, USA
| | - Mikhail G Shapiro
- Division of Chemistry and Chemical Engineering, California Institute of Technology, Pasadena, CA 91125, USA
- Cherng Department of Medical Engineering, California Institute of Technology, Pasadena, CA 91125, USA
- Howard Hughes Medical Institute, Pasadena, CA 91125, USA
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12
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Xia S, Zheng Y, Hua Q, Wen J, Luo X, Yan J, Bai B, Dong Y, Zhou J. Super-resolution ultrasound and microvasculomics: a consensus statement. Eur Radiol 2024:10.1007/s00330-024-10796-3. [PMID: 38811389 DOI: 10.1007/s00330-024-10796-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/26/2024] [Revised: 02/26/2024] [Accepted: 03/27/2024] [Indexed: 05/31/2024]
Abstract
This is a summary of a consensus statement on the introduction of "Ultrasound microvasculomics" produced by The Chinese Artificial Intelligence Alliance for Thyroid and Breast Ultrasound. The evaluation of microvessels is a very important part for the assessment of diseases. Super-resolution ultrasound (SRUS) microvascular imaging surpasses traditional ultrasound imaging in the morphological and functional analysis of microcirculation. SRUS microvascular imaging relies on contrast microbubbles to gain sensitivity to microvessels and improves the spatial resolution of ultrasound blood flow imaging for a more detailed depiction of vascular structures and hemodynamics. This method has been applied in preclinical animal models and pilot clinical studies, involving areas including neurology, oncology, nephrology, and cardiology. However, the current quantitative parameters of SRUS images are not enough for precise evaluation of microvessels. Therefore, by employing omics methods, more quantification indicators can be obtained, enabling a more precise and personalized assessment of microvascular status. Ultrasound microvasculomics - a high-throughput extraction of image features from SRUS images - is one novel approach that holds great promise but needs further validation in both bench and clinical settings. CLINICAL RELEVANCE STATEMENT: Super-resolution Ultrasound (SRUS) blood flow imaging improves spatial resolution. Ultrasound microvasculomics is possible to acquire high-throughput information of features from SRUS images. It provides more precise and abundant micro-blood flow information in clinical medicine. KEY POINTS: This consensus statement reviews the development and application of super-resolution ultrasound (SRUS). The shortcomings of the current quantification indicators of SRUS and strengths of the omics methodology are addressed. "Ultrasound microvasculomics" is introduced for a high-throughput extraction of image features from SRUS images.
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Affiliation(s)
- ShuJun Xia
- Department of Ultrasound, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, 197 Ruijin Er Road, 200025, Shanghai, China
- College of Health Science and Technology, Shanghai Jiao Tong University School of Medicine, 227 Chongqing South Road, 200025, Shanghai, China
| | - YuHang Zheng
- Department of Ultrasound, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, 197 Ruijin Er Road, 200025, Shanghai, China
- College of Health Science and Technology, Shanghai Jiao Tong University School of Medicine, 227 Chongqing South Road, 200025, Shanghai, China
| | - Qing Hua
- Department of Ultrasound, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, 197 Ruijin Er Road, 200025, Shanghai, China
- College of Health Science and Technology, Shanghai Jiao Tong University School of Medicine, 227 Chongqing South Road, 200025, Shanghai, China
| | - Jing Wen
- Department of Medical Ultrasound, Affiliated Hospital of Guizhou Medical University, 550001, Guiyang, China
| | - XiaoMao Luo
- Department of Medical Ultrasound, Yunnan Cancer Hospital & The Third Affiliated Hospital of Kunming Medical University, 650118, Kunming, China
| | - JiPing Yan
- Department of Ultrasound, Shanxi Provincial People's Hospital, 31th Shuangta Street, 030012, Taiyuan, China
| | - BaoYan Bai
- Department of Ultrasound, Affiliated Hospital of Yan 'an University, 43 North Street, Baota District, 716000, Yan'an, China
| | - YiJie Dong
- Department of Ultrasound, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, 197 Ruijin Er Road, 200025, Shanghai, China.
- College of Health Science and Technology, Shanghai Jiao Tong University School of Medicine, 227 Chongqing South Road, 200025, Shanghai, China.
| | - JianQiao Zhou
- Department of Ultrasound, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, 197 Ruijin Er Road, 200025, Shanghai, China.
- College of Health Science and Technology, Shanghai Jiao Tong University School of Medicine, 227 Chongqing South Road, 200025, Shanghai, China.
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13
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Lerendegui M, Yan J, Stride E, Dunsby C, Tang MX. Understanding the effects of microbubble concentration on localization accuracy in super-resolution ultrasound imaging. Phys Med Biol 2024; 69:115020. [PMID: 38588678 DOI: 10.1088/1361-6560/ad3c09] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/04/2023] [Accepted: 04/08/2024] [Indexed: 04/10/2024]
Abstract
Super-resolution ultrasound (SRUS) through localising and tracking of microbubbles (MBs) can achieve sub-wavelength resolution for imaging microvascular structure and flow dynamics in deep tissuein vivo. The technique assumes that signals from individual MBs can be isolated and localised accurately, but this assumption starts to break down when the MB concentration increases and the signals from neighbouring MBs start to interfere. The aim of this study is to gain understanding of the effect of MB-MB distance on ultrasound images and their localisation. Ultrasound images of two MBs approaching each other were synthesised by simulating both ultrasound field propagation and nonlinear MB dynamics. Besides the distance between MBs, a range of other influencing factors including MB size, ultrasound frequency, transmit pulse sequence, pulse amplitude and localisation methods were studied. The results show that as two MBs approach each other, the interference fringes can lead to significant and oscillating localisation errors, which are affected by both the MB and imaging parameters. When modelling a clinical linear array probe operating at 6 MHz, localisation errors between 20 and 30μm (∼1/10 wavelength) can be generated when MBs are ∼500μm (2 wavelengths or ∼1.7 times the point spread function (PSF)) away from each other. When modelling a cardiac probe operating at 1.5 MHz, the localisation errors were as high as 200μm (∼1/5 wavelength) even when the MBs were more than 10 wavelengths apart (2.9 times the PSF). For both frequencies, at smaller separation distances, the two MBs were misinterpreted as one MB located in between the two true positions. Cross-correlation or Gaussian fitting methods were found to generate slightly smaller localisation errors than centroiding. In conclusion, caution should be taken when generating and interpreting SRUS images obtained using high agent concentration with MBs separated by less than 1.7 to 3 times the PSF, as significant localisation errors can be generated due to interference between neighbouring MBs.
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Affiliation(s)
- Marcelo Lerendegui
- Department of Bioengineering, Imperial College London, London, United Kingdom
| | - Jipeng Yan
- Department of Bioengineering, Imperial College London, London, United Kingdom
| | - Eleanor Stride
- Institute of Biomedical Engineering, Department of Engineering Science, University of Oxford, Oxford, United Kingdom
| | | | - Meng-Xing Tang
- Department of Bioengineering, Imperial College London, London, United Kingdom
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14
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Riemer K, Tan Q, Morse S, Bau L, Toulemonde M, Yan J, Zhu J, Wang B, Taylor L, Lerendegui M, Wu Q, Stride E, Dunsby C, Weinberg PD, Tang MX. 3D Acoustic Wave Sparsely Activated Localization Microscopy With Phase Change Contrast Agents. Invest Radiol 2024; 59:379-390. [PMID: 37843819 DOI: 10.1097/rli.0000000000001033] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/17/2023]
Abstract
OBJECTIVE The aim of this study is to demonstrate 3-dimensional (3D) acoustic wave sparsely activated localization microscopy (AWSALM) of microvascular flow in vivo using phase change contrast agents (PCCAs). MATERIALS AND METHODS Three-dimensional AWSALM using acoustically activable PCCAs was evaluated on a crossed tube microflow phantom, the kidney of New Zealand White rabbits, and the brain of C57BL/6J mice through intact skull. A mixture of C 3 F 8 and C 4 F 10 low-boiling-point fluorocarbon gas was used to generate PCCAs with an appropriate activation pressure. A multiplexed 8-MHz matrix array connected to a 256-channel ultrasound research platform was used for transmitting activation and imaging ultrasound pulses and recording echoes. The in vitro and in vivo echo data were subsequently beamformed and processed using a set of customized algorithms for generating 3D super-resolution ultrasound images through localizing and tracking activated contrast agents. RESULTS With 3D AWSALM, the acoustic activation of PCCAs can be controlled both spatially and temporally, enabling contrast on demand and capable of revealing 3D microvascular connectivity. The spatial resolution of the 3D AWSALM images measured using Fourier shell correlation is 64 μm, presenting a 9-time improvement compared with the point spread function and 1.5 times compared with half the wavelength. Compared with the microbubble-based approach, more signals were localized in the microvasculature at similar concentrations while retaining sparsity and longer tracks in larger vessels. Transcranial imaging was demonstrated as a proof of principle of PCCA activation in the mouse brain with 3D AWSALM. CONCLUSIONS Three-dimensional AWSALM generates volumetric ultrasound super-resolution microvascular images in vivo with spatiotemporal selectivity and enhanced microvascular penetration.
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Affiliation(s)
- Kai Riemer
- From the Department of Bioengineering, Imperial College London, London, United Kingdom (K.R., Q.T., S.M., M.T., J.Y., J.Z., B.W., L.T., M.L., P.D.W., M.-X.T.); NDORMS, University of Oxford, Oxford, United Kingdom (L.B., Q.W., E.S.); and Department of Physics, Imperial College London, London, United Kingdom (C.D.)
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15
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Binder NF, El Amki M, Glück C, Middleham W, Reuss AM, Bertolo A, Thurner P, Deffieux T, Lambride C, Epp R, Handelsmann HL, Baumgartner P, Orset C, Bethge P, Kulcsar Z, Aguzzi A, Tanter M, Schmid F, Vivien D, Wyss MT, Luft A, Weller M, Weber B, Wegener S. Leptomeningeal collaterals regulate reperfusion in ischemic stroke and rescue the brain from futile recanalization. Neuron 2024; 112:1456-1472.e6. [PMID: 38412858 DOI: 10.1016/j.neuron.2024.01.031] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/03/2023] [Revised: 11/18/2023] [Accepted: 01/30/2024] [Indexed: 02/29/2024]
Abstract
Recanalization is the mainstay of ischemic stroke treatment. However, even with timely clot removal, many stroke patients recover poorly. Leptomeningeal collaterals (LMCs) are pial anastomotic vessels with yet-unknown functions. We applied laser speckle imaging, ultrafast ultrasound, and two-photon microscopy in a thrombin-based mouse model of stroke and fibrinolytic treatment to show that LMCs maintain cerebral autoregulation and allow for gradual reperfusion, resulting in small infarcts. In mice with poor LMCs, distal arterial segments collapse, and deleterious hyperemia causes hemorrhage and mortality after recanalization. In silico analyses confirm the relevance of LMCs for preserving perfusion in the ischemic region. Accordingly, in stroke patients with poor collaterals undergoing thrombectomy, rapid reperfusion resulted in hemorrhagic transformation and unfavorable recovery. Thus, we identify LMCs as key components regulating reperfusion and preventing futile recanalization after stroke. Future therapeutic interventions should aim to enhance collateral function, allowing for beneficial reperfusion after stroke.
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Affiliation(s)
- Nadine Felizitas Binder
- Department of Neurology, University Hospital and University of Zurich, Zürich, Switzerland; Neuroscience Center Zurich, University of Zurich, ETH Zurich, Zurich, Switzerland
| | - Mohamad El Amki
- Department of Neurology, University Hospital and University of Zurich, Zürich, Switzerland; Neuroscience Center Zurich, University of Zurich, ETH Zurich, Zurich, Switzerland
| | - Chaim Glück
- Institute of Pharmacology and Toxicology, University of Zurich, Winterthurerstrasse 190, 8057 Zürich, Switzerland; Neuroscience Center Zurich, University of Zurich, ETH Zurich, Zurich, Switzerland
| | - William Middleham
- Department of Neurology, University Hospital and University of Zurich, Zürich, Switzerland; Neuroscience Center Zurich, University of Zurich, ETH Zurich, Zurich, Switzerland
| | - Anna Maria Reuss
- Institute of Neuropathology, University Hospital Zurich, University of Zurich, Schmelzbergstrasse 12, 8091 Zurich, Switzerland; Neuroscience Center Zurich, University of Zurich, ETH Zurich, Zurich, Switzerland
| | - Adrien Bertolo
- Iconeus, 6 rue Jean Calvin, Paris, France; Physics for Medicine, INSERM U1273, ESPCI Paris, CNRS UMR 8063, PSL Research University, 17 rue Moreau, Paris, France
| | - Patrick Thurner
- Department of Neuroradiology, University Hospital and University of Zurich, Zürich, France
| | - Thomas Deffieux
- Physics for Medicine, INSERM U1273, ESPCI Paris, CNRS UMR 8063, PSL Research University, 17 rue Moreau, Paris, France
| | - Chryso Lambride
- Department of Neurology, University Hospital and University of Zurich, Zürich, Switzerland; ARTORG Center for Biomedical Engineering Research, University of Bern, Bern, Switzerland; Neuroscience Center Zurich, University of Zurich, ETH Zurich, Zurich, Switzerland
| | - Robert Epp
- Institute of Fluid Dynamics, ETH Zurich, Zurich, Switzerland
| | - Hannah-Lea Handelsmann
- Department of Neurology, University Hospital and University of Zurich, Zürich, Switzerland
| | - Philipp Baumgartner
- Department of Neurology, University Hospital and University of Zurich, Zürich, Switzerland
| | - Cyrille Orset
- Normandie University, UNICAEN, INSERM, Unité Mixte de Recherche-S U1237, Physiopathology and Imaging of Neurological Disorders (PhIND), Institute Blood and Brain @ Caen Normandie, GIP Cyceron, Caen, France
| | - Philipp Bethge
- Brain Research Institute, University of Zurich, 8057 Zurich, Switzerland; Neuroscience Center Zurich, University of Zurich, ETH Zurich, Zurich, Switzerland
| | - Zsolt Kulcsar
- Department of Neuroradiology, University Hospital and University of Zurich, Zürich, France
| | - Adriano Aguzzi
- Institute of Neuropathology, University Hospital Zurich, University of Zurich, Schmelzbergstrasse 12, 8091 Zurich, Switzerland; Neuroscience Center Zurich, University of Zurich, ETH Zurich, Zurich, Switzerland
| | - Mickael Tanter
- Physics for Medicine, INSERM U1273, ESPCI Paris, CNRS UMR 8063, PSL Research University, 17 rue Moreau, Paris, France
| | - Franca Schmid
- ARTORG Center for Biomedical Engineering Research, University of Bern, Bern, Switzerland
| | - Denis Vivien
- Normandie University, UNICAEN, INSERM, Unité Mixte de Recherche-S U1237, Physiopathology and Imaging of Neurological Disorders (PhIND), Institute Blood and Brain @ Caen Normandie, GIP Cyceron, Caen, France; Department of Clinical Research, Caen Normandie University Hospital, Caen, France
| | - Matthias Tasso Wyss
- Institute of Pharmacology and Toxicology, University of Zurich, Winterthurerstrasse 190, 8057 Zürich, Switzerland; Neuroscience Center Zurich, University of Zurich, ETH Zurich, Zurich, Switzerland
| | - Andreas Luft
- Department of Neurology, University Hospital and University of Zurich, Zürich, Switzerland; Neuroscience Center Zurich, University of Zurich, ETH Zurich, Zurich, Switzerland
| | - Michael Weller
- Department of Neurology, University Hospital and University of Zurich, Zürich, Switzerland; Neuroscience Center Zurich, University of Zurich, ETH Zurich, Zurich, Switzerland
| | - Bruno Weber
- Institute of Pharmacology and Toxicology, University of Zurich, Winterthurerstrasse 190, 8057 Zürich, Switzerland; Neuroscience Center Zurich, University of Zurich, ETH Zurich, Zurich, Switzerland
| | - Susanne Wegener
- Department of Neurology, University Hospital and University of Zurich, Zürich, Switzerland; Neuroscience Center Zurich, University of Zurich, ETH Zurich, Zurich, Switzerland.
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16
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Zhou S, Gao X, Park G, Yang X, Qi B, Lin M, Huang H, Bian Y, Hu H, Chen X, Wu RS, Liu B, Yue W, Lu C, Wang R, Bheemreddy P, Qin S, Lam A, Wear KA, Andre M, Kistler EB, Newell DW, Xu S. Transcranial volumetric imaging using a conformal ultrasound patch. Nature 2024; 629:810-818. [PMID: 38778234 DOI: 10.1038/s41586-024-07381-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/03/2023] [Accepted: 04/02/2024] [Indexed: 05/25/2024]
Abstract
Accurate and continuous monitoring of cerebral blood flow is valuable for clinical neurocritical care and fundamental neurovascular research. Transcranial Doppler (TCD) ultrasonography is a widely used non-invasive method for evaluating cerebral blood flow1, but the conventional rigid design severely limits the measurement accuracy of the complex three-dimensional (3D) vascular networks and the practicality for prolonged recording2. Here we report a conformal ultrasound patch for hands-free volumetric imaging and continuous monitoring of cerebral blood flow. The 2 MHz ultrasound waves reduce the attenuation and phase aberration caused by the skull, and the copper mesh shielding layer provides conformal contact to the skin while improving the signal-to-noise ratio by 5 dB. Ultrafast ultrasound imaging based on diverging waves can accurately render the circle of Willis in 3D and minimize human errors during examinations. Focused ultrasound waves allow the recording of blood flow spectra at selected locations continuously. The high accuracy of the conformal ultrasound patch was confirmed in comparison with a conventional TCD probe on 36 participants, showing a mean difference and standard deviation of difference as -1.51 ± 4.34 cm s-1, -0.84 ± 3.06 cm s-1 and -0.50 ± 2.55 cm s-1 for peak systolic velocity, mean flow velocity, and end diastolic velocity, respectively. The measurement success rate was 70.6%, compared with 75.3% for a conventional TCD probe. Furthermore, we demonstrate continuous blood flow spectra during different interventions and identify cascades of intracranial B waves during drowsiness within 4 h of recording.
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Affiliation(s)
- Sai Zhou
- Materials Science and Engineering Program, University of California San Diego, La Jolla, CA, USA
| | - Xiaoxiang Gao
- Department of Nanoengineering, University of California San Diego, La Jolla, CA, USA
| | - Geonho Park
- Department of Nanoengineering, University of California San Diego, La Jolla, CA, USA
| | - Xinyi Yang
- Materials Science and Engineering Program, University of California San Diego, La Jolla, CA, USA
| | - Baiyan Qi
- Materials Science and Engineering Program, University of California San Diego, La Jolla, CA, USA
| | - Muyang Lin
- Department of Nanoengineering, University of California San Diego, La Jolla, CA, USA
| | - Hao Huang
- Department of Nanoengineering, University of California San Diego, La Jolla, CA, USA
| | - Yizhou Bian
- Department of Nanoengineering, University of California San Diego, La Jolla, CA, USA
| | - Hongjie Hu
- Department of Nanoengineering, University of California San Diego, La Jolla, CA, USA
| | - Xiangjun Chen
- Materials Science and Engineering Program, University of California San Diego, La Jolla, CA, USA
| | - Ray S Wu
- Department of Nanoengineering, University of California San Diego, La Jolla, CA, USA
| | - Boyu Liu
- Department of Nanoengineering, University of California San Diego, La Jolla, CA, USA
| | - Wentong Yue
- Department of Nanoengineering, University of California San Diego, La Jolla, CA, USA
| | - Chengchangfeng Lu
- Department of Electrical and Computer Engineering, University of California San Diego, La Jolla, CA, USA
| | - Ruotao Wang
- Department of Nanoengineering, University of California San Diego, La Jolla, CA, USA
| | - Pranavi Bheemreddy
- Department of Electrical and Computer Engineering, University of California San Diego, La Jolla, CA, USA
| | - Siyu Qin
- Department of Electrical and Computer Engineering, University of California San Diego, La Jolla, CA, USA
| | - Arthur Lam
- Department of Anesthesiology and Critical Care, University of California San Diego, La Jolla, CA, USA
| | - Keith A Wear
- U.S. Food and Drug Administration, Silver Spring, MD, USA
| | - Michael Andre
- Department of Radiology, University of California San Diego, La Jolla, CA, USA
| | - Erik B Kistler
- Department of Radiology, University of California San Diego, La Jolla, CA, USA
- Shu Chien-Gene Lay Department of Bioengineering, University of California San Diego, La Jolla, CA, USA
| | - David W Newell
- Department of Neurosurgery, Seattle Neuroscience Institute, Seattle, WA, USA
| | - Sheng Xu
- Materials Science and Engineering Program, University of California San Diego, La Jolla, CA, USA.
- Department of Nanoengineering, University of California San Diego, La Jolla, CA, USA.
- Department of Electrical and Computer Engineering, University of California San Diego, La Jolla, CA, USA.
- Department of Radiology, University of California San Diego, La Jolla, CA, USA.
- Shu Chien-Gene Lay Department of Bioengineering, University of California San Diego, La Jolla, CA, USA.
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17
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Zhou Q, Glück C, Tang L, Glandorf L, Droux J, El Amki M, Wegener S, Weber B, Razansky D, Chen Z. Cortex-wide transcranial localization microscopy with fluorescently labeled red blood cells. Nat Commun 2024; 15:3526. [PMID: 38664419 PMCID: PMC11045747 DOI: 10.1038/s41467-024-47892-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/13/2023] [Accepted: 04/15/2024] [Indexed: 04/28/2024] Open
Abstract
Large-scale imaging of brain activity with high spatio-temporal resolution is crucial for advancing our understanding of brain function. The existing neuroimaging techniques are largely limited by restricted field of view, slow imaging speed, or otherwise do not have the adequate spatial resolution to capture brain activities on a capillary and cellular level. To address these limitations, we introduce fluorescence localization microscopy aided with sparsely-labeled red blood cells for cortex-wide morphological and functional cerebral angiography with 4.9 µm spatial resolution and 1 s temporal resolution. When combined with fluorescence calcium imaging, the proposed method enables extended recordings of stimulus-evoked neuro-vascular changes in the murine brain while providing simultaneous multiparametric readings of intracellular neuronal activity, blood flow velocity/direction/volume, and vessel diameter. Owing to its simplicity and versatility, the proposed approach will become an invaluable tool for deciphering the regulation of cortical microcirculation and neurovascular coupling in health and disease.
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Affiliation(s)
- Quanyu Zhou
- Institute of Pharmacology and Toxicology, Faculty of Medicine, University of Zurich, Zurich, Switzerland
- Institute for Biomedical Engineering, Department of Information Technology and Electrical Engineering, ETH Zurich, Zurich, Switzerland
| | - Chaim Glück
- Institute of Pharmacology and Toxicology, Faculty of Medicine, University of Zurich, Zurich, Switzerland
- Zurich Neuroscience Center, Zurich, Switzerland
| | - Lin Tang
- Institute of Pharmacology and Toxicology, Faculty of Medicine, University of Zurich, Zurich, Switzerland
- Institute for Biomedical Engineering, Department of Information Technology and Electrical Engineering, ETH Zurich, Zurich, Switzerland
| | - Lukas Glandorf
- Institute of Pharmacology and Toxicology, Faculty of Medicine, University of Zurich, Zurich, Switzerland
- Institute for Biomedical Engineering, Department of Information Technology and Electrical Engineering, ETH Zurich, Zurich, Switzerland
| | - Jeanne Droux
- Zurich Neuroscience Center, Zurich, Switzerland
- Department of Neurology, University Hospital and University of Zurich, Zurich, Switzerland
| | - Mohamad El Amki
- Zurich Neuroscience Center, Zurich, Switzerland
- Department of Neurology, University Hospital and University of Zurich, Zurich, Switzerland
| | - Susanne Wegener
- Zurich Neuroscience Center, Zurich, Switzerland
- Department of Neurology, University Hospital and University of Zurich, Zurich, Switzerland
| | - Bruno Weber
- Institute of Pharmacology and Toxicology, Faculty of Medicine, University of Zurich, Zurich, Switzerland
- Zurich Neuroscience Center, Zurich, Switzerland
| | - Daniel Razansky
- Institute of Pharmacology and Toxicology, Faculty of Medicine, University of Zurich, Zurich, Switzerland.
- Institute for Biomedical Engineering, Department of Information Technology and Electrical Engineering, ETH Zurich, Zurich, Switzerland.
- Zurich Neuroscience Center, Zurich, Switzerland.
| | - Zhenyue Chen
- Institute of Pharmacology and Toxicology, Faculty of Medicine, University of Zurich, Zurich, Switzerland.
- Institute for Biomedical Engineering, Department of Information Technology and Electrical Engineering, ETH Zurich, Zurich, Switzerland.
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18
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Shin Y, Lowerison MR, Wang Y, Chen X, You Q, Dong Z, Anastasio MA, Song P. Context-aware deep learning enables high-efficacy localization of high concentration microbubbles for super-resolution ultrasound localization microscopy. Nat Commun 2024; 15:2932. [PMID: 38575577 PMCID: PMC10995206 DOI: 10.1038/s41467-024-47154-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/13/2023] [Accepted: 03/20/2024] [Indexed: 04/06/2024] Open
Abstract
Ultrasound localization microscopy (ULM) enables deep tissue microvascular imaging by localizing and tracking intravenously injected microbubbles circulating in the bloodstream. However, conventional localization techniques require spatially isolated microbubbles, resulting in prolonged imaging time to obtain detailed microvascular maps. Here, we introduce LOcalization with Context Awareness (LOCA)-ULM, a deep learning-based microbubble simulation and localization pipeline designed to enhance localization performance in high microbubble concentrations. In silico, LOCA-ULM enhanced microbubble detection accuracy to 97.8% and reduced the missing rate to 23.8%, outperforming conventional and deep learning-based localization methods up to 17.4% in accuracy and 37.6% in missing rate reduction. In in vivo rat brain imaging, LOCA-ULM revealed dense cerebrovascular networks and spatially adjacent microvessels undetected by conventional ULM. We further demonstrate the superior localization performance of LOCA-ULM in functional ULM (fULM) where LOCA-ULM significantly increased the functional imaging sensitivity of fULM to hemodynamic responses invoked by whisker stimulations in the rat brain.
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Affiliation(s)
- YiRang Shin
- Beckman Institute for Advanced Science and Technology, University of Illinois Urbana-Champaign, Urbana, IL, USA
- Department of Electrical and Computer Engineering, University of Illinois Urbana-Champaign, Urbana, IL, USA
| | - Matthew R Lowerison
- Beckman Institute for Advanced Science and Technology, University of Illinois Urbana-Champaign, Urbana, IL, USA
- Department of Electrical and Computer Engineering, University of Illinois Urbana-Champaign, Urbana, IL, USA
| | - Yike Wang
- Beckman Institute for Advanced Science and Technology, University of Illinois Urbana-Champaign, Urbana, IL, USA
- Department of Electrical and Computer Engineering, University of Illinois Urbana-Champaign, Urbana, IL, USA
| | - Xi Chen
- Beckman Institute for Advanced Science and Technology, University of Illinois Urbana-Champaign, Urbana, IL, USA
- Department of Electrical and Computer Engineering, University of Illinois Urbana-Champaign, Urbana, IL, USA
| | - Qi You
- Beckman Institute for Advanced Science and Technology, University of Illinois Urbana-Champaign, Urbana, IL, USA
- Department of Bioengineering, University of Illinois Urbana-Champaign, Urbana, IL, USA
| | - Zhijie Dong
- Beckman Institute for Advanced Science and Technology, University of Illinois Urbana-Champaign, Urbana, IL, USA
- Department of Electrical and Computer Engineering, University of Illinois Urbana-Champaign, Urbana, IL, USA
| | - Mark A Anastasio
- Beckman Institute for Advanced Science and Technology, University of Illinois Urbana-Champaign, Urbana, IL, USA
- Department of Electrical and Computer Engineering, University of Illinois Urbana-Champaign, Urbana, IL, USA
- Department of Bioengineering, University of Illinois Urbana-Champaign, Urbana, IL, USA
- Carle Illinois College of Medicine, University of Illinois Urbana-Champaign, Urbana, IL, USA
| | - Pengfei Song
- Beckman Institute for Advanced Science and Technology, University of Illinois Urbana-Champaign, Urbana, IL, USA.
- Department of Electrical and Computer Engineering, University of Illinois Urbana-Champaign, Urbana, IL, USA.
- Department of Bioengineering, University of Illinois Urbana-Champaign, Urbana, IL, USA.
- Carle Illinois College of Medicine, University of Illinois Urbana-Champaign, Urbana, IL, USA.
- Neuroscience Program, University of Illinois Urbana-Champaign, Urbana, IL, USA.
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19
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Chang KW, Karthikesh MS, Zhu Y, Hudson HM, Barbay S, Bundy D, Guggenmos DJ, Frost S, Nudo RJ, Wang X, Yang X. Photoacoustic imaging of squirrel monkey cortical responses induced by peripheral mechanical stimulation. JOURNAL OF BIOPHOTONICS 2024; 17:e202300347. [PMID: 38171947 PMCID: PMC10961203 DOI: 10.1002/jbio.202300347] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/28/2023] [Revised: 11/08/2023] [Accepted: 11/29/2023] [Indexed: 01/05/2024]
Abstract
Non-human primates (NHPs) are crucial models for studies of neuronal activity. Emerging photoacoustic imaging modalities offer excellent tools for studying NHP brains with high sensitivity and high spatial resolution. In this research, a photoacoustic microscopy (PAM) device was used to provide a label-free quantitative characterization of cerebral hemodynamic changes due to peripheral mechanical stimulation. A 5 × 5 mm area within the somatosensory cortex region of an adult squirrel monkey was imaged. A deep, fully connected neural network was characterized and applied to the PAM images of the cortex to enhance the vessel structures after mechanical stimulation on the forelimb digits. The quality of the PAM images was improved significantly with a neural network while preserving the hemodynamic responses. The functional responses to the mechanical stimulation were characterized based on the improved PAM images. This study demonstrates capability of PAM combined with machine learning for functional imaging of the NHP brain.
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Affiliation(s)
- Kai-Wei Chang
- Department of Biomedical Engineering, University of Michigan, Ann Arbor, Michigan, 48109, United States
| | | | - Yunhao Zhu
- Department of Biomedical Engineering, University of Michigan, Ann Arbor, Michigan, 48109, United States
| | - Heather M. Hudson
- Landon Center on Aging, University of Kansas Medical Center, Kansas City, Kansas, 66160, United States
- Department of Rehabilitation Medicine, University of Kansas Medical Center, Kansas City, Kansas, 66160, United States
| | - Scott Barbay
- Landon Center on Aging, University of Kansas Medical Center, Kansas City, Kansas, 66160, United States
- Department of Rehabilitation Medicine, University of Kansas Medical Center, Kansas City, Kansas, 66160, United States
| | - David Bundy
- Landon Center on Aging, University of Kansas Medical Center, Kansas City, Kansas, 66160, United States
- Department of Rehabilitation Medicine, University of Kansas Medical Center, Kansas City, Kansas, 66160, United States
| | - David J. Guggenmos
- Landon Center on Aging, University of Kansas Medical Center, Kansas City, Kansas, 66160, United States
- Department of Rehabilitation Medicine, University of Kansas Medical Center, Kansas City, Kansas, 66160, United States
| | - Shawn Frost
- Landon Center on Aging, University of Kansas Medical Center, Kansas City, Kansas, 66160, United States
- Department of Rehabilitation Medicine, University of Kansas Medical Center, Kansas City, Kansas, 66160, United States
| | - Randolph J. Nudo
- Landon Center on Aging, University of Kansas Medical Center, Kansas City, Kansas, 66160, United States
- Department of Rehabilitation Medicine, University of Kansas Medical Center, Kansas City, Kansas, 66160, United States
| | - Xueding Wang
- Department of Biomedical Engineering, University of Michigan, Ann Arbor, Michigan, 48109, United States
| | - Xinmai Yang
- Bioengineering Graduate Program and Institute for Bioengineering Research, University of Kansas, Lawrence, Kansas, 66045, United States
- Department of Mechanical Engineering, University of Kansas, Lawrence, Kansas, 66045, United States
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20
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Lowerison MR, Vaithiyalingam Chandra Sekaran N, Dong Z, Chen X, You Q, Llano DA, Song P. Super-Resolution Ultrasound Reveals Cerebrovascular Impairment in a Mouse Model of Alzheimer's Disease. J Neurosci 2024; 44:e1251232024. [PMID: 38253533 PMCID: PMC10904092 DOI: 10.1523/jneurosci.1251-23.2024] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/06/2023] [Revised: 12/04/2023] [Accepted: 01/16/2024] [Indexed: 01/24/2024] Open
Abstract
Increasing evidence has suggested a link between cerebrovascular disease and the cognitive impairment associated with Alzheimer's disease. However, detailed descriptions of microvascular changes across brain regions and how they relate to other more traditional pathology have been lacking. Additionally, the efforts to elucidate the interplay between cerebral microvascular function and Alzheimer's disease progression are complicated by the necessity of probing deep-brain structures since early-stage Alzheimer's disease typically involves hippocampal pathology. The purpose of this study was to examine changes in microvascular dynamics in a mouse model of Alzheimer's disease using cohorts that were age-matched to wild-type controls. Data from both sexes were included in this study. Super-resolution ultrasound localization microscopy revealed microvascular functional and structural features throughout the whole brain depth to visualize and quantify. We found that functional decreases in hippocampal and entorhinal flow velocity preceded structural derangements in regional vascular density. Co-registered histological sectioning confirmed the regionalized perfusion deficits seen on ultrasound imaging, which were co-localized with amyloid beta plaque deposition. In addition to providing global vascular quantifications of deep brain structures with a high local resolution, this technology also permitted velocity-profile analysis of individual vessels and, in some cases, allowed for decoupling of arterial and venous flow contributions. These data suggest that microvascular pathology is an early and pervasive feature of Alzheimer's disease and may represent a novel therapeutic target for this disease.
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Affiliation(s)
- Matthew R Lowerison
- Beckman Institute for Advanced Science and Technology, University of Illinois at Urbana-Champaign, Urbana, Illinois 61801
- Departments of Electrical and Computer Engineering, Urbana, Illinois 61801
| | - Nathiya Vaithiyalingam Chandra Sekaran
- Beckman Institute for Advanced Science and Technology, University of Illinois at Urbana-Champaign, Urbana, Illinois 61801
- Molecular and Integrative Physiology, Urbana, Illinois 61801
| | - Zhijie Dong
- Beckman Institute for Advanced Science and Technology, University of Illinois at Urbana-Champaign, Urbana, Illinois 61801
- Departments of Electrical and Computer Engineering, Urbana, Illinois 61801
| | - Xi Chen
- Beckman Institute for Advanced Science and Technology, University of Illinois at Urbana-Champaign, Urbana, Illinois 61801
- Departments of Electrical and Computer Engineering, Urbana, Illinois 61801
| | - Qi You
- Beckman Institute for Advanced Science and Technology, University of Illinois at Urbana-Champaign, Urbana, Illinois 61801
- Bioengineering, University of Illinois at Urbana-Champaign, Urbana, Illinois 61801
| | - Daniel A Llano
- Beckman Institute for Advanced Science and Technology, University of Illinois at Urbana-Champaign, Urbana, Illinois 61801
- Molecular and Integrative Physiology, Urbana, Illinois 61801
- Neuroscience Program, University of Illinois at Urbana-Champaign, Urbana, Illinois 61801
| | - Pengfei Song
- Beckman Institute for Advanced Science and Technology, University of Illinois at Urbana-Champaign, Urbana, Illinois 61801
- Departments of Electrical and Computer Engineering, Urbana, Illinois 61801
- Neuroscience Program, University of Illinois at Urbana-Champaign, Urbana, Illinois 61801
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21
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Bourquin C, Porée J, Rauby B, Perrot V, Ghigo N, Belgharbi H, Bélanger S, Ramos-Palacios G, Cortes N, Ladret H, Ikan L, Casanova C, Lesage F, Provost J. Quantitative pulsatility measurements using 3D dynamic ultrasound localization microscopy. Phys Med Biol 2024; 69:045017. [PMID: 38181421 DOI: 10.1088/1361-6560/ad1b68] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/17/2023] [Accepted: 01/05/2024] [Indexed: 01/07/2024]
Abstract
A rise in blood flow velocity variations (i.e. pulsatility) in the brain, caused by the stiffening of upstream arteries, is associated with cognitive impairment and neurodegenerative diseases. The study of this phenomenon requires brain-wide pulsatility measurements, with large penetration depth and high spatiotemporal resolution. The development of dynamic ultrasound localization microscopy (DULM), based on ULM, has enabled pulsatility measurements in the rodent brain in 2D. However, 2D imaging accesses only one slice of the brain and measures only 2D-projected and hence biased velocities . Herein, we present 3D DULM: using a single ultrasound scanner at high frame rate (1000-2000 Hz), this method can produce dynamic maps of microbubbles flowing in the bloodstream and extract quantitative pulsatility measurements in the cat brain with craniotomy and in the mouse brain through the skull, showing a wide range of flow hemodynamics in both large and small vessels. We highlighted a decrease in pulsatility along the vascular tree in the cat brain, which could be mapped with ultrasound down to a few tens of micrometers for the first time. We also performed an intra-animal validation of the method by showing consistent measurements between the two sides of the Willis circle in the mouse brain. Our study provides the first step towards a new biomarker that would allow the detection of dynamic abnormalities in microvessels in the brain, which could be linked to early signs of neurodegenerative diseases.
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Affiliation(s)
- Chloé Bourquin
- Department of Engineering Physics, Polytechnique Montréal, Montréal, QC H3T 1J4, Canada
| | - Jonathan Porée
- Department of Engineering Physics, Polytechnique Montréal, Montréal, QC H3T 1J4, Canada
| | - Brice Rauby
- Department of Engineering Physics, Polytechnique Montréal, Montréal, QC H3T 1J4, Canada
| | - Vincent Perrot
- Department of Engineering Physics, Polytechnique Montréal, Montréal, QC H3T 1J4, Canada
| | - Nin Ghigo
- Department of Engineering Physics, Polytechnique Montréal, Montréal, QC H3T 1J4, Canada
| | - Hatim Belgharbi
- Department of Engineering Physics, Polytechnique Montréal, Montréal, QC H3T 1J4, Canada
- Department of Biomedical Engineering, University of North Carolina, Chapel Hill, NC 27599, United States of America
| | | | | | - Nelson Cortes
- School of Optometry, University of Montreal, Montréal, QC H3T 1P1, Canada
| | - Hugo Ladret
- School of Optometry, University of Montreal, Montréal, QC H3T 1P1, Canada
- Institut de Neurosciences de la Timone, UMR 7289, CNRS and Aix-Marseille Université, Marseille, F-13005, France
| | - Lamyae Ikan
- School of Optometry, University of Montreal, Montréal, QC H3T 1P1, Canada
| | - Christian Casanova
- School of Optometry, University of Montreal, Montréal, QC H3T 1P1, Canada
| | - Frédéric Lesage
- Department of Electrical Engineering, Polytechnique Montréal, Montréal, QC H3T 1J4, Canada
- Montreal Heart Institute, Montréal, QC H1T 1C8, Canada
| | - Jean Provost
- Department of Engineering Physics, Polytechnique Montréal, Montréal, QC H3T 1J4, Canada
- Montreal Heart Institute, Montréal, QC H1T 1C8, Canada
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22
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Brown MD, Generowicz BS, Dijkhuizen S, Koekkoek SKE, Strydis C, Bosch JG, Arvanitis P, Springeling G, Leus GJT, De Zeeuw CI, Kruizinga P. Four-dimensional computational ultrasound imaging of brain hemodynamics. SCIENCE ADVANCES 2024; 10:eadk7957. [PMID: 38232164 DOI: 10.1126/sciadv.adk7957] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/12/2023] [Accepted: 12/19/2023] [Indexed: 01/19/2024]
Abstract
Four-dimensional ultrasound imaging of complex biological systems such as the brain is technically challenging because of the spatiotemporal sampling requirements. We present computational ultrasound imaging (cUSi), an imaging method that uses complex ultrasound fields that can be generated with simple hardware and a physical wave prediction model to alleviate the sampling constraints. cUSi allows for high-resolution four-dimensional imaging of brain hemodynamics in awake and anesthetized mice.
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Affiliation(s)
- Michael D Brown
- Department of Neuroscience, CUBE, Erasmus MC, Rotterdam, Netherlands
- Department of Medical Physics and Biomedical Engineering, University College London, London, UK
| | | | | | | | - Christos Strydis
- Department of Neuroscience, CUBE, Erasmus MC, Rotterdam, Netherlands
- Department of Quantum and Computer Engineering, TU Delft, Delft, Netherlands
| | - Johannes G Bosch
- Department of Cardiology, Thorax Biomedical Engineering, Erasmus MC, Rotterdam, Netherlands
| | - Petros Arvanitis
- Department of Neuroscience, CUBE, Erasmus MC, Rotterdam, Netherlands
| | - Geert Springeling
- Experimental Medical Instrumentation, Erasmus MC, Rotterdam, Netherlands
| | - Geert J T Leus
- Signal Processing Systems, Department of Microelectronics, TU Delft, Delft, Netherlands
| | - Chris I De Zeeuw
- Department of Neuroscience, Erasmus MC, Rotterdam, Netherlands
- Netherlands Institute for Neuroscience, Royal Dutch Academy for Arts and Sciences, Amsterdam, Netherlands
| | - Pieter Kruizinga
- Department of Neuroscience, CUBE, Erasmus MC, Rotterdam, Netherlands
- Signal Processing Systems, Department of Microelectronics, TU Delft, Delft, Netherlands
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23
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Porte C, Lisson T, Kohlen M, von Maltzahn F, Dencks S, von Stillfried S, Piepenbrock M, Rix A, Dasgupta A, Koczera P, Boor P, Stickeler E, Schmitz G, Kiessling F. Ultrasound Localization Microscopy for Breast Cancer Imaging in Patients: Protocol Optimization and Comparison with Shear Wave Elastography. ULTRASOUND IN MEDICINE & BIOLOGY 2024; 50:57-66. [PMID: 37805359 DOI: 10.1016/j.ultrasmedbio.2023.09.001] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/06/2023] [Revised: 07/25/2023] [Accepted: 09/02/2023] [Indexed: 10/09/2023]
Abstract
OBJECTIVE Ultrasound localization microscopy (ULM) has gained increasing attention in recent years because of its ability to visualize blood vessels at super-resolution. The field of oncology, in particular, could benefit from detailed vascular characterization, for example, for diagnosis and therapy monitoring. This study was aimed at refining ULM for breast cancer patients by optimizing the measurement protocol, identifying translational challenges and combining ULM and shear wave elastography. METHODS We computed ULM images of 11 patients with breast cancer by recording contrast-enhanced ultrasound (CEUS) sequences and post-processing them in an offline pipeline. For CEUS, two different doses and injection speeds of SonoVue were applied. The best injection protocol was determined based on quantitative parameters derived from so-called occurrence maps. In addition, a suitable measurement time window was determined, also considering the occurrence of motion. ULM results were compared with shear wave elastography and histological vessel density. RESULTS At the higher dose and injection speed, the highest number of microbubbles, number of tracks and vessel coverage were achieved, leading to the most detailed representation of tumor vasculature. Even at the highest concentration, no significant overlay of microbubble signals occurred. Motion significantly reduced the number of usable frames, thus limiting the measurement window to 3.5 min. ULM vessel coverage was comparable to the histological vessel fraction and correlated significantly with mean tumor elasticity. CONCLUSION The settings for microbubble injection strongly influence ULM images, thus requiring optimized protocols for different indications. Patient and examiner motion was identified as the main translational challenge for ULM.
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Affiliation(s)
- Céline Porte
- Institute for Experimental Molecular Imaging, University Clinic Aachen, RWTH Aachen University, Aachen, Germany
| | - Thomas Lisson
- Department of Electrical Engineering and Information Technology, Ruhr University Bochum, Bochum, Germany
| | - Matthias Kohlen
- Department of Gynecology and Obstetrics, University Clinic Aachen, RWTH Aachen University, Aachen, Germany
| | - Finn von Maltzahn
- Institute for Experimental Molecular Imaging, University Clinic Aachen, RWTH Aachen University, Aachen, Germany
| | - Stefanie Dencks
- Department of Electrical Engineering and Information Technology, Ruhr University Bochum, Bochum, Germany
| | - Saskia von Stillfried
- Institute of Pathology, University Clinic Aachen, RWTH Aachen University, Aachen, Germany
| | - Marion Piepenbrock
- Department of Electrical Engineering and Information Technology, Ruhr University Bochum, Bochum, Germany
| | - Anne Rix
- Institute for Experimental Molecular Imaging, University Clinic Aachen, RWTH Aachen University, Aachen, Germany
| | - Anshuman Dasgupta
- Institute for Experimental Molecular Imaging, University Clinic Aachen, RWTH Aachen University, Aachen, Germany
| | - Patrick Koczera
- Institute for Experimental Molecular Imaging, University Clinic Aachen, RWTH Aachen University, Aachen, Germany
| | - Peter Boor
- Institute of Pathology, University Clinic Aachen, RWTH Aachen University, Aachen, Germany
| | - Elmar Stickeler
- Department of Gynecology and Obstetrics, University Clinic Aachen, RWTH Aachen University, Aachen, Germany
| | - Georg Schmitz
- Department of Electrical Engineering and Information Technology, Ruhr University Bochum, Bochum, Germany
| | - Fabian Kiessling
- Institute for Experimental Molecular Imaging, University Clinic Aachen, RWTH Aachen University, Aachen, Germany; Fraunhofer Institute for Digital Medicine MEVIS, Aachen, Germany.
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24
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Mano T, Grutman T, Ilovitsh T. Versatile Ultrasound-Compatible Microfluidic Platform for In Vitro Microvasculature Flow Research and Imaging Optimization. ACS OMEGA 2023; 8:47667-47677. [PMID: 38144052 PMCID: PMC10734021 DOI: 10.1021/acsomega.3c05849] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 08/09/2023] [Revised: 11/16/2023] [Accepted: 11/22/2023] [Indexed: 12/26/2023]
Abstract
Ultrasound localization microscopy (ULM) enables the creation of super-resolved images and velocity maps by localizing and tracking microbubble contrast agents through a vascular network over thousands of frames of ultrafast plane wave images. However, a significant challenge lies in developing ultrasound-compatible microvasculature phantoms to investigate microbubble flow and distribution in controlled environments. In this study, we introduce a new class of gelatin-based microfluidic-inspired phantoms uniquely tailored for ULM studies. These devices allow for the creation of complex and reproducible microvascular networks featuring channel diameters as small as 100 μm. Our experiments focused on microbubble behavior under ULM conditions within bifurcating and converging vessel phantoms. We evaluated the impact of bifurcation angles (25, 45, and 55°) and flow rates (0.01, 0.02, and 0.03 mL/min) on the acquisition time of branching channels. Additionally, we explored the saturation time effect of narrow channels branching off larger ones. Significantly longer acquisition times were observed for the narrow vessels, with an average increase of 72% when a 100 μm channel branched off from a 300 μm channel and an average increase of 90% for a 200 μm channel branching off from a 500 μm channel. The robustness of our fabrication method is demonstrated through the creation of two trifurcating microfluidic phantoms, including one that converges back into a single channel, a configuration that cannot be achieved through traditional methods. This new class of ULM phantoms serves as a versatile platform for noninvasively studying complex flow patterns using ultrasound imaging, unlocking new possibilities for in vitro microvasculature research and imaging optimization.
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Affiliation(s)
- Tamar Mano
- Department
of Biomedical Engineering, Tel Aviv University, Tel Aviv 6997801, Israel
| | - Tal Grutman
- Department
of Biomedical Engineering, Tel Aviv University, Tel Aviv 6997801, Israel
| | - Tali Ilovitsh
- Department
of Biomedical Engineering, Tel Aviv University, Tel Aviv 6997801, Israel
- The
Sagol School of Neuroscience, Tel Aviv University, Tel Aviv 6997801, Israel
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25
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Huang H, Hsu P, Tsai S, Chuang Y, Chen D, Xu G, Chen C, Kuo Y, Huang C. High-Spatiotemporal-Resolution Ultrasound Flow Imaging to Determine Cerebrovascular Hemodynamics in Alzheimer's Disease Mice Model. ADVANCED SCIENCE (WEINHEIM, BADEN-WURTTEMBERG, GERMANY) 2023; 10:e2302345. [PMID: 37964413 PMCID: PMC10724386 DOI: 10.1002/advs.202302345] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/13/2023] [Revised: 08/28/2023] [Indexed: 11/16/2023]
Abstract
Although the relationships of cerebrovascular hemodynamic dysfunction with neurodegenerative diseases remain unclear, many studies have indicated that poor cerebral perfusion accelerates the progression of neurodegenerative diseases, such as Alzheimer's disease (AD). Small animal models are widely used in AD research. However, providing an imaging modality with a high spatiotemporal resolution and sufficiently large field of view to assess cerebrovascular hemodynamics in vivo remains a challenge. The present study proposes a novel technique for high-spatiotemporal-resolution vector micro-Doppler imaging (HVμDI) based on contrast-free ultrafast high frequency ultrasound imaging to visualize the cerebrovascular hemodynamics of the mouse, with a data acquisition time of 0.4 s, a minimal detectable vessel size of 38 µm, and a temporal resolution of 500 Hz. In vivo experiments are conducted on wild-type and AD mice. Cerebrovascular hemodynamics are quantified using the cerebral vascular density, diameter, velocity, tortuosity, cortical flow pulsatility, and instant flow direction variations. Results reveal that AD significantly change the cerebrovascular hemodynamics. HVμDI offers new opportunities for in vivo analysis of cerebrovascular hemodynamics in neurodegenerative pathologies in preclinical animal research.
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Affiliation(s)
- Hsin Huang
- Department of Biomedical EngineeringNational Cheng Kung UniversityTainan70101Taiwan
| | - Pei‐Ling Hsu
- Department of AnatomySchool of MedicineCollege of MedicineKaohsiung Medical UniversityKaohsiung80708Taiwan
- Department of Medical ResearchKaohsiung Medical University HospitalKaohsiung80708Taiwan
- Drug Development and Value Creation Research CenterKaohsiung Medical UniversityKaohsiung80708Taiwan
| | - Sheng‐Feng Tsai
- Department of Cell Biology and AnatomyCollege of MedicineNational Cheng Kung UniversityTainan70101Taiwan
- Institute of Basic Medical SciencesCollege of MedicineNational Cheng Kung UniversityTainan70101Taiwan
| | - Yi‐Hsiang Chuang
- Department of Biomedical EngineeringNational Cheng Kung UniversityTainan70101Taiwan
| | - De‐Quan Chen
- Department of Biomedical EngineeringNational Cheng Kung UniversityTainan70101Taiwan
| | - Guo‐Xuan Xu
- Department of Biomedical EngineeringNational Cheng Kung UniversityTainan70101Taiwan
| | - Chien Chen
- Department of Biomedical EngineeringNational Cheng Kung UniversityTainan70101Taiwan
| | - Yu‐Min Kuo
- Department of Cell Biology and AnatomyCollege of MedicineNational Cheng Kung UniversityTainan70101Taiwan
- Institute of Basic Medical SciencesCollege of MedicineNational Cheng Kung UniversityTainan70101Taiwan
| | - Chih‐Chung Huang
- Department of Biomedical EngineeringNational Cheng Kung UniversityTainan70101Taiwan
- Medical Device Innovation CenterNational Cheng Kung UniversityTainan70101Taiwan
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Jiang C, Li B, Xie L, Liu C, Xu K, Zhan Y, Ta D. Ray theory-based compounded plane wave ultrasound imaging for aberration corrected transcranial imaging: Phantom experiments and simulations. ULTRASONICS 2023; 135:107124. [PMID: 37541030 DOI: 10.1016/j.ultras.2023.107124] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/03/2023] [Revised: 07/25/2023] [Accepted: 07/26/2023] [Indexed: 08/06/2023]
Abstract
Compounded plane wave imaging (CPWI) allows high-frame-rate measurement and has been one of the most promising modalities for real-time brain imaging. However, ultrasonic brain imaging using the CPWI modality is usually performed with a worn thin or removal of the skull layer. Otherwise, the skull layer is expected to distort the ultrasonic wavefronts and significantly decrease intracranial imaging quality. The motivation of this study is to investigate a CPWI method for transcranial brain imaging with the skull layer. A coordinate transformation ray-tracing (CTRT) approach was proposed to track the distorted ultrasonic wavefronts and calculate the time delays for the ultrasound plane wave passing through the skull layer. With an accurate correction for the time delays in beamforming, the CTRT-based CPWI could achieve high-quality intracranial images with the presence of skulls. The proposed CTRT-based CPWI method was verified using a simplified three-layer transcranial model. The full-wave simulation demonstrated that CTRT could accurately (i.e., relative percentage error less than0.18%) track the distorted transmitting wavefront through skull. Compared with the CPWI without aberration correction, the CTRT-based CPWI provided high-quality intracranial imaging and could accurately localize intracranial point scatterers; specifically, positioning error decreases from 0.5 mm to 0.1 mm on average in the axial direction and from 0.7 mm to 0.1 mm on average in the lateral direction. As the compounded angles increased in the CTRT-based CPWI, the contrast improved by 16.2 dB on average for the region of interest, and the array performance indicator (representing resolution) decreased by 4.0 on average for the intracranial point scatterers. The CTRT is of low computational cost compared with full wave simulation. This study suggested that the proposed CTRT-based CPWI might have the potential for real-time and non-invasive transcranial aberration-corrected imaging.
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Affiliation(s)
- Chen Jiang
- Micro-nano System Center, School of Information Science and Technology, Fudan University, 200438, Shanghai, China
| | - Boyi Li
- Academy for Engineering and Technology, Fudan University, 200433, Shanghai, China
| | - Linru Xie
- Academy for Engineering and Technology, Fudan University, 200433, Shanghai, China
| | - Chengcheng Liu
- Academy for Engineering and Technology, Fudan University, 200433, Shanghai, China; State Key Laboratory of Integrated Chips and Systems, Fudan University, 201203, Shanghai, China
| | - Kailiang Xu
- Center for Biomedical Engineering, School of Information Science and Technology, Fudan University, 200438, Shanghai, China; State Key Laboratory of Integrated Chips and Systems, Fudan University, 201203, Shanghai, China.
| | - Yiqiang Zhan
- Micro-nano System Center, School of Information Science and Technology, Fudan University, 200438, Shanghai, China
| | - Dean Ta
- Center for Biomedical Engineering, School of Information Science and Technology, Fudan University, 200438, Shanghai, China; State Key Laboratory of Integrated Chips and Systems, Fudan University, 201203, Shanghai, China.
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27
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Eisenstein M. A sound solution for deep-brain imaging. Nat Methods 2023; 20:1623-1628. [PMID: 37903911 DOI: 10.1038/s41592-023-02055-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/01/2023]
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28
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Epp R, Glück C, Binder NF, El Amki M, Weber B, Wegener S, Jenny P, Schmid F. The role of leptomeningeal collaterals in redistributing blood flow during stroke. PLoS Comput Biol 2023; 19:e1011496. [PMID: 37871109 PMCID: PMC10621965 DOI: 10.1371/journal.pcbi.1011496] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/30/2022] [Revised: 11/02/2023] [Accepted: 09/03/2023] [Indexed: 10/25/2023] Open
Abstract
Leptomeningeal collaterals (LMCs) connect the main cerebral arteries and provide alternative pathways for blood flow during ischaemic stroke. This is beneficial for reducing infarct size and reperfusion success after treatment. However, a better understanding of how LMCs affect blood flow distribution is indispensable to improve therapeutic strategies. Here, we present a novel in silico approach that incorporates case-specific in vivo data into a computational model to simulate blood flow in large semi-realistic microvascular networks from two different mouse strains, characterised by having many and almost no LMCs between middle and anterior cerebral artery (MCA, ACA) territories. This framework is unique because our simulations are directly aligned with in vivo data. Moreover, it allows us to analyse perfusion characteristics quantitatively across all vessel types and for networks with no, few and many LMCs. We show that the occlusion of the MCA directly caused a redistribution of blood that was characterised by increased flow in LMCs. Interestingly, the improved perfusion of MCA-sided microvessels after dilating LMCs came at the cost of a reduced blood supply in other brain areas. This effect was enhanced in regions close to the watershed line and when the number of LMCs was increased. Additional dilations of surface and penetrating arteries after stroke improved perfusion across the entire vasculature and partially recovered flow in the obstructed region, especially in networks with many LMCs, which further underlines the role of LMCs during stroke.
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Affiliation(s)
- Robert Epp
- Institute of Fluid Dynamics, ETH Zurich, Zurich, Switzerland
| | - Chaim Glück
- Institute of Pharmacology and Toxicology, University of Zurich, Zurich, Switzerland
| | - Nadine Felizitas Binder
- Deptartment of Neurology, University Hospital Zurich and University of Zurich, Zurich, Switzerland
| | - Mohamad El Amki
- Deptartment of Neurology, University Hospital Zurich and University of Zurich, Zurich, Switzerland
| | - Bruno Weber
- Institute of Pharmacology and Toxicology, University of Zurich, Zurich, Switzerland
| | - Susanne Wegener
- Deptartment of Neurology, University Hospital Zurich and University of Zurich, Zurich, Switzerland
| | - Patrick Jenny
- Institute of Fluid Dynamics, ETH Zurich, Zurich, Switzerland
| | - Franca Schmid
- Institute of Fluid Dynamics, ETH Zurich, Zurich, Switzerland
- Institute of Pharmacology and Toxicology, University of Zurich, Zurich, Switzerland
- ARTORG Center for Biomedical Engineering Research, University of Bern, Bern, Switzerland
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29
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Bok I, Vareberg A, Gokhale Y, Bhatt S, Masterson E, Phillips J, Zhu T, Ren X, Hai A. Wireless agents for brain recording and stimulation modalities. Bioelectron Med 2023; 9:20. [PMID: 37726851 PMCID: PMC10510192 DOI: 10.1186/s42234-023-00122-5] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/17/2023] [Accepted: 08/19/2023] [Indexed: 09/21/2023] Open
Abstract
New sensors and modulators that interact wirelessly with medical modalities unlock uncharted avenues for in situ brain recording and stimulation. Ongoing miniaturization, material refinement, and sensitization to specific neurophysiological and neurochemical processes are spurring new capabilities that begin to transcend the constraints of traditional bulky and invasive wired probes. Here we survey current state-of-the-art agents across diverse realms of operation and evaluate possibilities depending on size, delivery, specificity and spatiotemporal resolution. We begin by describing implantable and injectable micro- and nano-scale electronic devices operating at or below the radio frequency (RF) regime with simple near field transmission, and continue with more sophisticated devices, nanoparticles and biochemical molecular conjugates acting as dynamic contrast agents in magnetic resonance imaging (MRI), ultrasound (US) transduction and other functional tomographic modalities. We assess the ability of some of these technologies to deliver stimulation and neuromodulation with emerging probes and materials that provide minimally invasive magnetic, electrical, thermal and optogenetic stimulation. These methodologies are transforming the repertoire of readily available technologies paired with compatible imaging systems and hold promise toward broadening the expanse of neurological and neuroscientific diagnostics and therapeutics.
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Affiliation(s)
- Ilhan Bok
- Department of Biomedical Engineering, University of WI - Madison, 1550 Engineering Dr, Madison, WI, Rm 2112, USA
- Department of Electrical and Computer Engineering, University of WI - Madison, Madison, WI, USA
- Wisconsin Institute for Translational Neuroengineering (WITNe), Madison, WI, USA
| | - Adam Vareberg
- Department of Biomedical Engineering, University of WI - Madison, 1550 Engineering Dr, Madison, WI, Rm 2112, USA
- Wisconsin Institute for Translational Neuroengineering (WITNe), Madison, WI, USA
| | - Yash Gokhale
- Department of Biomedical Engineering, University of WI - Madison, 1550 Engineering Dr, Madison, WI, Rm 2112, USA
- Wisconsin Institute for Translational Neuroengineering (WITNe), Madison, WI, USA
| | - Suyash Bhatt
- Department of Electrical and Computer Engineering, University of WI - Madison, Madison, WI, USA
- Wisconsin Institute for Translational Neuroengineering (WITNe), Madison, WI, USA
| | - Emily Masterson
- Department of Biomedical Engineering, University of WI - Madison, 1550 Engineering Dr, Madison, WI, Rm 2112, USA
- Wisconsin Institute for Translational Neuroengineering (WITNe), Madison, WI, USA
| | - Jack Phillips
- Department of Biomedical Engineering, University of WI - Madison, 1550 Engineering Dr, Madison, WI, Rm 2112, USA
| | - Tianxiang Zhu
- Department of Electrical and Computer Engineering, University of WI - Madison, Madison, WI, USA
- Wisconsin Institute for Translational Neuroengineering (WITNe), Madison, WI, USA
| | - Xiaoxuan Ren
- Department of Biomedical Engineering, University of WI - Madison, 1550 Engineering Dr, Madison, WI, Rm 2112, USA
- Department of Electrical and Computer Engineering, University of WI - Madison, Madison, WI, USA
| | - Aviad Hai
- Department of Biomedical Engineering, University of WI - Madison, 1550 Engineering Dr, Madison, WI, Rm 2112, USA.
- Department of Electrical and Computer Engineering, University of WI - Madison, Madison, WI, USA.
- Wisconsin Institute for Translational Neuroengineering (WITNe), Madison, WI, USA.
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30
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Wang Y, Lowerison MR, You Q, Lin BZ, Llano DA, Song P. Longitudinal Awake Imaging of Deep Mouse Brain Microvasculature with Super-resolution Ultrasound Localization Microscopy. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2023:2023.09.01.555789. [PMID: 37732191 PMCID: PMC10508721 DOI: 10.1101/2023.09.01.555789] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 09/22/2023]
Abstract
Super-resolution ultrasound localization microscopy (ULM) is an emerging imaging modality that resolves capillary-scale microvasculature in deep tissues. However, existing preclinical ULM applications are largely constrained to anesthetized animals, introducing confounding vascular effects such as vasodilation and altered hemodynamics. As such, ULM quantifications (e.g., vessel diameter, density, and flow velocity) may be confounded by the use of anesthesia, undermining the usefulness of ULM in practice. Here we introduce a method to address this limitation and achieve ULM imaging in awake mouse brain. Pupillary monitoring was used to confirm the awake state during ULM imaging. ULM revealed that veins showed a greater degree of vascularity reduction from anesthesia to awake states than did arteries. The reduction was most significant in the midbrain and least significant in the cortex. ULM also revealed a significant reduction in venous blood flow velocity across different brain regions under awake conditions. Serial in vivo imaging of the same animal brain at weekly intervals demonstrated the highly robust longitudinal imaging capability of the proposed technique. This is the first study demonstrating longitudinal ULM imaging in the awake mouse brain, which is essential for many ULM brain applications that require awake and behaving animals.
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31
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Zheng H, Niu L, Qiu W, Liang D, Long X, Li G, Liu Z, Meng L. The Emergence of Functional Ultrasound for Noninvasive Brain-Computer Interface. RESEARCH (WASHINGTON, D.C.) 2023; 6:0200. [PMID: 37588619 PMCID: PMC10427153 DOI: 10.34133/research.0200] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 01/13/2023] [Accepted: 07/04/2023] [Indexed: 08/18/2023]
Abstract
A noninvasive brain-computer interface is a central task in the comprehensive analysis and understanding of the brain and is an important challenge in international brain-science research. Current implanted brain-computer interfaces are cranial and invasive, which considerably limits their applications. The development of new noninvasive reading and writing technologies will advance substantial innovations and breakthroughs in the field of brain-computer interfaces. Here, we review the theory and development of the ultrasound brain functional imaging and its applications. Furthermore, we introduce latest advancements in ultrasound brain modulation and its applications in rodents, primates, and human; its mechanism and closed-loop ultrasound neuromodulation based on electroencephalograph are also presented. Finally, high-frequency acoustic noninvasive brain-computer interface is prospected based on ultrasound super-resolution imaging and acoustic tweezers.
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Affiliation(s)
- Hairong Zheng
- Institute of Biomedical and Health Engineering, Shenzhen Institutes of Advanced Technology,
Chinese Academy of Sciences, Shenzhen, 518055, China
| | - Lili Niu
- Institute of Biomedical and Health Engineering, Shenzhen Institutes of Advanced Technology,
Chinese Academy of Sciences, Shenzhen, 518055, China
| | - Weibao Qiu
- Institute of Biomedical and Health Engineering, Shenzhen Institutes of Advanced Technology,
Chinese Academy of Sciences, Shenzhen, 518055, China
| | - Dong Liang
- Institute of Biomedical and Health Engineering, Shenzhen Institutes of Advanced Technology,
Chinese Academy of Sciences, Shenzhen, 518055, China
| | - Xiaojing Long
- Institute of Biomedical and Health Engineering, Shenzhen Institutes of Advanced Technology,
Chinese Academy of Sciences, Shenzhen, 518055, China
| | - Guanglin Li
- Shenzhen Institute of Advanced Integration Technology, Chinese Academy of Sciences and The Chinese University of Hong Kong, Shenzhen, 518055, China
| | - Zhiyuan Liu
- Shenzhen Institute of Advanced Integration Technology, Chinese Academy of Sciences and The Chinese University of Hong Kong, Shenzhen, 518055, China
| | - Long Meng
- Institute of Biomedical and Health Engineering, Shenzhen Institutes of Advanced Technology,
Chinese Academy of Sciences, Shenzhen, 518055, China
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32
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Dong Z, Li S, Duan X, Lowerison MR, Huang C, You Q, Chen S, Zou J, Song P. High-Volume-Rate 3-D Ultrasound Imaging Using Fast-Tilting and Redirecting Reflectors. IEEE TRANSACTIONS ON ULTRASONICS, FERROELECTRICS, AND FREQUENCY CONTROL 2023; 70:799-809. [PMID: 37276113 PMCID: PMC10440128 DOI: 10.1109/tuffc.2023.3282949] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/07/2023]
Abstract
Three-dimensional ultrasound imaging has many advantages over 2-D imaging such as more comprehensive tissue evaluation and less operator dependence. However, developing a low-cost and accessible 3-D ultrasound solution with high volume rate and imaging quality remains a challenging task. Recently, we proposed a 3-D ultrasound imaging technique: fast acoustic steering via tilting electromechanical reflectors (FASTER), which uses a fast-tilting acoustic reflector to steer ultrafast plane waves elevationally to achieve high-volume-rate 3-D imaging with conventional 1-D transducers. However, the initial FASTER implementation requires a water tank for acoustic wave conduction and cannot be conveniently used for regular handheld scanning. To address these limitations, here, we developed a novel ultrasound probe clip-on device that encloses a fast-tilting reflector, a redirecting reflector, and an acoustic wave conduction medium. The new FASTER 3-D imaging device can be easily attached to or removed from clinical ultrasound transducers, allowing rapid transformation from 2-D to 3-D imaging. In vitro B-mode studies demonstrated that the proposed method provided comparable imaging quality to conventional, mechanical-translation-based 3-D imaging while offering a much faster volume rate (e.g., 300 versus ∼ 10 Hz). We also demonstrated 3-D power Doppler (PD) and 3-D super-resolution ultrasound localization microscopy (ULM) with the FASTER device. An in vivo imaging study showed that the FASTER device could clearly visualize the 3-D anatomy of the basilic vein. These results suggest that the newly developed redirecting reflector and the clip-on device could overcome key hurdles for future clinical translation of the FASTER 3-D imaging technology.
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33
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Demeulenaere O, Mateo P, Ferrera R, Chiaroni PM, Bizé A, Dai J, Sambin L, Gallet R, Tanter M, Papadacci C, Ghaleh B, Pernot M. Assessment of coronary microcirculation alterations in a porcine model of no-reflow using ultrasound localization microscopy: a proof of concept study. EBioMedicine 2023; 94:104727. [PMID: 37487415 PMCID: PMC10382870 DOI: 10.1016/j.ebiom.2023.104727] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/17/2023] [Revised: 07/11/2023] [Accepted: 07/11/2023] [Indexed: 07/26/2023] Open
Abstract
BACKGROUND Coronary microvascular obstruction also known as no-reflow phenomenon is a major issue during myocardial infarction that bears important prognostic implications. Alterations of the microvascular network remains however challenging to assess as there is no imaging modality in the clinics that can image directly the coronary microvascular vessels. Ultrasound Localization Microscopy (ULM) imaging was recently introduced to map microvascular flows at high spatial resolution (∼10 μm). In this study, we developed an approach to image alterations of the microvascular coronary flow in ex vivo perfused swine hearts. METHODS A porcine model of myocardial ischemia-reperfusion was used to obtain microvascular coronary alterations and no-reflow. Four female hearts with myocardial infarction in addition to 6 controls were explanted and placed immediately in a dedicated preservation and perfusion box manufactured for ultrasound imaging. Microbubbles (MB) were injected into the vasculature to perform Ultrasound Localization Microscopy (ULM) imaging and a linear ultrasound probe mounted on a motorized device was used to scan the heart on multiple slices. The coronary microvascular anatomy and flow velocity was reconstructed using dedicated ULM algorithms and analyzed quantitatively. FINDINGS We were able to image the coronary microcirculation of ex vivo swine hearts at a resolution of tens of microns and measure flow velocities ranging from 10 mm/s in arterioles up to more than 200 mm/s in epicardial arteries. Under different aortic perfusion pressures, we measured in large arteries of a subset of control hearts an increase of flow velocity from 31 ± 11 mm/s at 87 mmHg to 47 ± 17 mm/s at 132 mmHg (N = 3 hearts, P < 0.05). This increase was compared with a control measurement with a flowmeter in the aorta. We also compared 6 control hearts to 4 hearts in which no-reflow was induced by the occlusion and reperfusion of a coronary artery. Using average MB velocity and average density of MB per unit of surface as two ULM quantitative markers of perfusion, we were able to detect areas of coronary no-reflow in good agreement with a control anatomical pathology analysis of the cardiac tissue. In the no-reflow zone, we measured an average perfusion of 204 ± 305 MB/mm2 compared to 3182 ± 1302 MB/mm2 in the surrounding re-perfused area. INTERPRETATION We demonstrated this approach can directly image and quantify coronary microvascular obstruction and no-reflow on large mammal perfused hearts. This is a first step for noninvasive, quantitative and affordable assessment of the coronary microcirculation function and particularly coronary microvascular anatomy in the infarcted heart. This approach has the potential to be extended to other clinical situations characterized by microvascular dysfunction. FUNDING This study was supported by the French National Research Agency (ANR) under ANR-21-CE19-0002 grant agreement.
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Affiliation(s)
- Oscar Demeulenaere
- Physics for Medicine, ESPCI, INSERM U1273, CNRS UMR 8063, PSL University, Paris, France
| | - Philippe Mateo
- Physics for Medicine, ESPCI, INSERM U1273, CNRS UMR 8063, PSL University, Paris, France
| | - René Ferrera
- CarMeN, 27102 INSERM U1060, INRA U1397, INSA de Lyon, Université Claude Bernard Lyon 1, Université de Lyon, Villeurbanne, France
| | - Paul-Mathieu Chiaroni
- Inserm U955-IMRB, UPEC, Ecole Nationale Vétérinaire d'Alfort, F-94700, Créteil, France; APHP, Hôpitaux Universitaires Henri Mondor, Service de Cardiologie, F-94000, Créteil, France
| | - Alain Bizé
- Inserm U955-IMRB, UPEC, Ecole Nationale Vétérinaire d'Alfort, F-94700, Créteil, France
| | - Jianping Dai
- Inserm U955-IMRB, UPEC, Ecole Nationale Vétérinaire d'Alfort, F-94700, Créteil, France
| | - Lucien Sambin
- Inserm U955-IMRB, UPEC, Ecole Nationale Vétérinaire d'Alfort, F-94700, Créteil, France
| | - Romain Gallet
- Inserm U955-IMRB, UPEC, Ecole Nationale Vétérinaire d'Alfort, F-94700, Créteil, France; APHP, Hôpitaux Universitaires Henri Mondor, Service de Cardiologie, F-94000, Créteil, France
| | - Mickaël Tanter
- Physics for Medicine, ESPCI, INSERM U1273, CNRS UMR 8063, PSL University, Paris, France
| | - Clément Papadacci
- Physics for Medicine, ESPCI, INSERM U1273, CNRS UMR 8063, PSL University, Paris, France.
| | - Bijan Ghaleh
- Inserm U955-IMRB, UPEC, Ecole Nationale Vétérinaire d'Alfort, F-94700, Créteil, France
| | - Mathieu Pernot
- Physics for Medicine, ESPCI, INSERM U1273, CNRS UMR 8063, PSL University, Paris, France
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34
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Song P, Rubin JM, Lowerison MR. Super-resolution ultrasound microvascular imaging: Is it ready for clinical use? Z Med Phys 2023; 33:309-323. [PMID: 37211457 PMCID: PMC10517403 DOI: 10.1016/j.zemedi.2023.04.001] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/08/2022] [Revised: 03/31/2023] [Accepted: 04/01/2023] [Indexed: 05/23/2023]
Abstract
The field of super-resolution ultrasound microvascular imaging has been rapidly growing over the past decade. By leveraging contrast microbubbles as point targets for localization and tracking, super-resolution ultrasound pinpoints the location of microvessels and measures their blood flow velocity. Super-resolution ultrasound is the first in vivo imaging modality that can image micron-scale vessels at a clinically relevant imaging depth without tissue destruction. These unique capabilities of super-resolution ultrasound provide structural (vessel morphology) and functional (vessel blood flow) assessments of tissue microvasculature on a global and local scale, which opens new doors for many enticing preclinical and clinical applications that benefit from microvascular biomarkers. The goal of this short review is to provide an update on recent advancements in super-resolution ultrasound imaging, with a focus on summarizing existing applications and discussing the prospects of translating super-resolution imaging to clinical practice and research. In this review, we also provide brief introductions of how super-resolution ultrasound works, how does it compare with other imaging modalities, and what are the tradeoffs and limitations for an audience who is not familiar with the technology.
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Affiliation(s)
- Pengfei Song
- Department of Electrical and Computer Engineering, University of Illinois Urbana-Champaign, United States; Beckman Institute for Advanced Science and Technology, University of Illinois Urbana-Champaign, United States; Department of Bioengineering, University of Illinois Urbana-Champaign, United States; Carle Illinois College of Medicine, University of Illinois Urbana-Champaign, United States.
| | - Jonathan M Rubin
- Department of Radiology, University of Michigan, Ann Arbor, United States
| | - Matthew R Lowerison
- Department of Electrical and Computer Engineering, University of Illinois Urbana-Champaign, United States; Beckman Institute for Advanced Science and Technology, University of Illinois Urbana-Champaign, United States
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35
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Tang Y, Dong Z, Wang N, Del Aguila A, Johnston N, Vu T, Ma C, Xu Y, Yang W, Song P, Yao J. Non-invasive Deep-Brain Imaging with 3D Integrated Photoacoustic Tomography and Ultrasound Localization Microscopy (3D-PAULM). ARXIV 2023:arXiv:2307.14572v1. [PMID: 37547654 PMCID: PMC10402205] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Subscribe] [Scholar Register] [Indexed: 08/08/2023]
Abstract
Photoacoustic computed tomography (PACT) is a proven technology for imaging hemodynamics in deep brain of small animal models. PACT is inherently compatible with ultrasound (US) imaging, providing complementary contrast mechanisms. While PACT can quantify the brain's oxygen saturation of hemoglobin (sO2), US imaging can probe the blood flow based on the Doppler effect. Further, by tracking gas-filled microbubbles, ultrasound localization microscopy (ULM) can map the blood flow velocity with sub-diffraction spatial resolution. In this work, we present a 3D deep-brain imaging system that seamlessly integrates PACT and ULM into a single device, 3D-PAULM. Using a low ultrasound frequency of 4 MHz, 3D-PAULM is capable of imaging the whole-brain hemodynamic functions with intact scalp and skull in a totally non-invasive manner. Using 3D-PAULM, we studied the mouse brain functions with ischemic stroke. Multi-spectral PACT, US B-mode imaging, microbubble-enhanced power Doppler (PD), and ULM were performed on the same mouse brain with intrinsic image co-registration. From the multi-modality measurements, we future quantified blood perfusion, sO2, vessel density, and flow velocity of the mouse brain, showing stroke-induced ischemia, hypoxia, and reduced blood flow. We expect that 3D-PAULM can find broad applications in studying deep brain functions on small animal models.
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Affiliation(s)
- Yuqi Tang
- Department of Biomedical Engineering, Duke University, Durham, NC 27703 USA
| | - Zhijie Dong
- Beckman Institute for Advanced Science and Technology and the Department of Electrical and Computer Engineering, University of Illinois Urbana-Champaign, Urbana, IL 61801 USA
| | - Nanchao Wang
- Department of Biomedical Engineering, Duke University, Durham, NC 27703 USA
| | - Angela Del Aguila
- Brain Protection Program, Department of Anesthesiology, School of Medicine, Duke University, Durham 27710, NC, USA
| | - Natalie Johnston
- Department of Biomedical Engineering, Duke University, Durham, NC 27703 USA
| | - Tri Vu
- Department of Biomedical Engineering, Duke University, Durham, NC 27703 USA
| | - Chenshuo Ma
- Department of Biomedical Engineering, Duke University, Durham, NC 27703 USA
| | - Yirui Xu
- Department of Biomedical Engineering, Duke University, Durham, NC 27703 USA
| | - Wei Yang
- Brain Protection Program, Department of Anesthesiology, School of Medicine, Duke University, Durham 27710, NC, USA
| | - Pengfei Song
- Beckman Institute for Advanced Science and Technology and the Department of Electrical and Computer Engineering, University of Illinois Urbana-Champaign, Urbana, IL 61801 USA
| | - Junjie Yao
- Department of Biomedical Engineering, Duke University, Durham, NC 27703 USA
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36
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Renaudin N, Pezet S, Ialy-Radio N, Demene C, Tanter M. Backscattering amplitude in ultrasound localization microscopy. Sci Rep 2023; 13:11477. [PMID: 37455266 DOI: 10.1038/s41598-023-38531-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/03/2023] [Accepted: 07/10/2023] [Indexed: 07/18/2023] Open
Abstract
In the last decade, Ultrafast ultrasound localisation microscopy has taken non-invasive deep vascular imaging down to the microscopic level. By imaging diluted suspensions of circulating microbubbles in the blood stream at kHz frame rate and localizing the center of their individual point spread function with a sub-resolution precision, it enabled to break the unvanquished trade-off between depth of imaging and resolution by microscopically mapping the microbubbles flux and velocities deep into tissue. However, ULM also suffers limitations. Many small vessels are not visible in the ULM images due to the noise level in areas dimly explored by the microbubbles. Moreover, as the vast majority of studies are performed using 2D imaging, quantification is limited to in-plane velocity or flux measurements which hinders the accurate velocity determination and quantification. Here we show that the backscattering amplitude of each individual microbubble can also be exploited to produce backscattering images of the vascularization with a higher sensitivity compared to conventional ULM images. By providing valuable information about the relative distance of the microbubble to the 2D imaging plane in the out-of-plane direction, backscattering ULM images introduces a physically relevant 3D rendering perception in the vascular maps. It also retrieves the missing information about the out-of-plane motion of microbubbles and provides a way to improve 3D flow and velocity quantification using 2D ULM. These results pave the way to improved visualization and quantification for 2D and 3D ULM.
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Affiliation(s)
- Noemi Renaudin
- Institute Physics for Medicine Paris, Inserm U1273, ESPCI Paris-PSL, Cnrs UMR8063, 75012, Paris, France
| | - Sophie Pezet
- Institute Physics for Medicine Paris, Inserm U1273, ESPCI Paris-PSL, Cnrs UMR8063, 75012, Paris, France
| | - Nathalie Ialy-Radio
- Institute Physics for Medicine Paris, Inserm U1273, ESPCI Paris-PSL, Cnrs UMR8063, 75012, Paris, France
| | - Charlie Demene
- Institute Physics for Medicine Paris, Inserm U1273, ESPCI Paris-PSL, Cnrs UMR8063, 75012, Paris, France
| | - Mickael Tanter
- Institute Physics for Medicine Paris, Inserm U1273, ESPCI Paris-PSL, Cnrs UMR8063, 75012, Paris, France.
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Sojahrood AJ, Li Q, Haghi H, Karshafian R, Porter TM, Kolios MC. Probing the pressure dependence of sound speed and attenuation in bubbly media: Experimental observations, a theoretical model and numerical calculations. ULTRASONICS SONOCHEMISTRY 2023; 95:106319. [PMID: 36931196 DOI: 10.1016/j.ultsonch.2023.106319] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/26/2022] [Revised: 01/18/2023] [Accepted: 02/01/2023] [Indexed: 06/18/2023]
Abstract
The problem of attenuation and sound speed of bubbly media has remained partially unsolved. Comprehensive data regarding pressure-dependent changes of the attenuation and sound speed of a bubbly medium are not available. Our theoretical understanding of the problem is limited to linear or semi-linear theoretical models, which are not accurate in the regime of large amplitude bubble oscillations. Here, by controlling the size of the lipid coated bubbles (mean diameter of ≈5.4μm), we report the first time observation and characterization of the simultaneous pressure dependence of sound speed and attenuation in bubbly water below, at and above microbubbles resonance (frequency range between 1-3 MHz). With increasing acoustic pressure (between 12.5-100 kPa), the frequency of the peak attenuation and sound speed decreases while maximum and minimum amplitudes of the sound speed increase. We propose a nonlinear model for the estimation of the pressure dependent sound speed and attenuation with good agreement with the experiments. The model calculations are validated by comparing with the linear and semi-linear models predictions. One of the major challenges of the previously developed models is the significant overestimation of the attenuation at the bubble resonance at higher void fractions (e.g. 0.005). We addressed this problem by incorporating bubble-bubble interactions and comparing the results to experiments. Influence of the bubble-bubble interactions increases with increasing pressure. Within the examined exposure parameters, we numerically show that, even for low void fractions (e.g. 5.1×10-6) with increasing pressure the sound speed may become 4 times higher than the sound speed in the non-bubbly medium.
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Affiliation(s)
- A J Sojahrood
- Department of Physics, Toronto Metropolitan University, Toronto, Canada; Institute for Biomedical Engineering, Science and Technology (IBEST) a partnership between Ryerson University and St. Mike's Hospital, Toronto, Ontario, Canada.
| | - Q Li
- Department of Biomedical Engineering, Boston University, Boston, MA, USA
| | - H Haghi
- Department of Physics, Toronto Metropolitan University, Toronto, Canada; Institute for Biomedical Engineering, Science and Technology (IBEST) a partnership between Ryerson University and St. Mike's Hospital, Toronto, Ontario, Canada
| | - R Karshafian
- Department of Physics, Toronto Metropolitan University, Toronto, Canada; Institute for Biomedical Engineering, Science and Technology (IBEST) a partnership between Ryerson University and St. Mike's Hospital, Toronto, Ontario, Canada
| | - T M Porter
- Department of Biomedical Engineering, Boston University, Boston, MA, USA; Department of Biomedical Engineering, University of Texas at Austin, Texas, USA
| | - M C Kolios
- Department of Physics, Toronto Metropolitan University, Toronto, Canada; Institute for Biomedical Engineering, Science and Technology (IBEST) a partnership between Ryerson University and St. Mike's Hospital, Toronto, Ontario, Canada.
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Dong Z, Li S, Duan X, Lowerison MR, Huang C, You Q, Chen S, Zou J, Song P. High Volume Rate 3-D Ultrasound Imaging Using Fast-Tilting and Redirecting Reflectors. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2023:2023.03.07.531439. [PMID: 36945643 PMCID: PMC10028918 DOI: 10.1101/2023.03.07.531439] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 03/11/2023]
Abstract
3-D ultrasound imaging has many advantages over 2-D imaging such as more comprehensive tissue evaluation and less operator dependence. Although many 3-D ultrasound imaging techniques have been developed in the last several decades, a low-cost and accessible solution with high imaging volume rate and imaging quality remains elusive. Recently we proposed a new, high volume rate 3-D ultrasound imaging technique: Fast Acoustic Steering via Tilting Electromechanical Reflectors (FASTER), which uses a water-immersible and fast-tilting acoustic reflector to steer ultrafast plane waves in the elevational direction to achieve high volume rate 3-D ultrasound imaging with conventional 1-D array transducers. However, the initial implementation of FASTER imaging only involves a single fast-tilting acoustic reflector, which is inconvenient to use because the probe cannot be held in the regular upright position. Also, conventional FASTER imaging can only be performed inside a water tank because of the necessity of using water for acoustic conduction. To address these limitations of conventional FASTER, here we developed a novel ultrasound probe clip-on device that encloses a fast-tilting reflector, a redirecting reflector, and an acoustic wave conduction medium. The new FASTER 3-D imaging device can be easily attached to or removed from clinical ultrasound transducers, allowing rapid transformation from 2-D to 3-D ultrasound imaging. In vitro B-mode imaging studies demonstrated that the proposed method provided comparable imaging quality (e.g., spatial resolution and contrast-to-noise ratio) to conventional, mechanical-translation-based 3-D imaging while providing a much faster 3-D volume rate (e.g., 300 Hz vs ∼10 Hz). In addition to B-mode imaging, we also demonstrated 3-D power Doppler imaging and 3-D super-resolution ultrasound localization microscopy with the newly developed FASTER device. An in vivo imaging study showed that the FASTER device could clearly visualize the 3-D anatomy of the basilic vein of a healthy volunteer, and customized beamforming was implemented to accommodate the speed of sound difference between the acoustic medium and the imaging object (e.g., soft tissue). These results suggest that the newly developed redirecting reflector and the clip-on device could overcome key hurdles for future clinical translation of the FASTER 3-D imaging technology.
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AlHmoud IW, Walmer RW, Kavanagh K, Chang EH, Johnson KA, Bikdash M. Classifying Kidney Disease in a Vervet Model Using Spatially Encoded Contrast-Enhanced Ultrasound Perfusion Parameters. ULTRASOUND IN MEDICINE & BIOLOGY 2023; 49:761-772. [PMID: 36463005 PMCID: PMC11217529 DOI: 10.1016/j.ultrasmedbio.2022.10.015] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/10/2022] [Revised: 10/14/2022] [Accepted: 10/18/2022] [Indexed: 06/01/2023]
Abstract
Early stages of diabetic kidney disease (DKD) are difficult to diagnose in patients with type 2 diabetes. This work was aimed at identifying contrast-enhanced ultrasound (CEUS) perfusion parameters, a microcirculatory biomarker indicative of early DKD progression. CEUS kidney flash-replenishment data were acquired in control, insulin resistant and diabetic vervet monkeys (N = 16). By use of a mono-exponential model, time-intensity curve parameters related to blood volume (A), velocity (β) and flow rate (perfusion index [PI]) were extracted from 10 concentric kidney layers to study spatial perfusion patterns that could serve as strong indicators of disease. Mean squared error (MSE) was used to assess model performance. Features calculated from the perfusion parameters were inputs for the linear regression models to determine which features could distinguish between cohorts. The mono-exponential model performed well, with average MSEs (±standard deviation) of 0.0254 (±0.0210), 0.0321 (±0.0242) and 0.0287 (±0.0130) for the control, insulin resistant and diabetic cohorts, respectively. Perfusion index features, with blood pressure, were the best classifiers between cohorts (p < 0.05). CEUS has the potential to detect early microvascular changes, providing insight into disease-related structural changes in the kidney. The sensitivity of this technique should be explored further by assessing various stages of DKD.
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Affiliation(s)
- Issa W AlHmoud
- Computational Data Science and Engineering, North Carolina A&T State University, Greensboro, North Carolina, USA
| | - Rachel W Walmer
- Joint Department of Biomedical Engineering, North Carolina State University and the University of North Carolina at Chapel Hill, Raleigh, North Carolina, USA
| | - Kylie Kavanagh
- Department of Pathology, Wake Forest University School of Medicine, Winston Salem, North Carolina, USA; College of Health and Medicine, University of Tasmania, Hobart, Tasmania, Australia
| | - Emily H Chang
- School of Medicine, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA
| | - Kennita A Johnson
- Joint Department of Biomedical Engineering, North Carolina State University and the University of North Carolina at Chapel Hill, Raleigh, North Carolina, USA.
| | - Marwan Bikdash
- Computational Data Science and Engineering, North Carolina A&T State University, Greensboro, North Carolina, USA
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