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Ivankovic I, Lin HA, Özbek A, Orive A, Deán‐Ben XL, Razansky D. Multispectral Optoacoustic Tomography Enables In Vivo Anatomical and Functional Assessment of Human Tendons. ADVANCED SCIENCE (WEINHEIM, BADEN-WURTTEMBERG, GERMANY) 2024; 11:e2308336. [PMID: 38445972 PMCID: PMC11095142 DOI: 10.1002/advs.202308336] [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: 11/02/2023] [Revised: 12/11/2023] [Indexed: 03/07/2024]
Abstract
Tendon injuries resulting from accidents and aging are increasing globally. However, key tendon functional parameters such as microvascularity and oxygen perfusion remain inaccessible via the currently available clinical diagnostic tools, resulting in disagreements on optimal treatment options. Here, a new noninvasive method for anatomical and functional characterization of human tendons based on multispectral optoacoustic tomography (MSOT) is reported. Healthy subjects are investigated using a hand-held scanner delivering real-time volumetric images. Tendons in the wrist, ankle, and lower leg are imaged in the near-infrared optical spectrum to utilize endogenous contrast from Type I collagen. Morphology of the flexor carpi ulnaris, carpi radialis, palmaris longus, and Achilles tendons are reconstructed in full. The functional roles of the flexor digitorium longus, hallicus longus, and the tibialis posterior tendons have been visualized by dynamic tracking during toe extension-flexion motion. Furthermore, major vessels and microvasculature near the Achilles tendon are localized, and the global increase in oxygen saturation in response to targeted exercise is confirmed by perfusion studies. MSOT is shown to be a versatile tool capable of anatomical and functional tendon assessments. Future studies including abnormal subjects can validate the method as a viable noninvasive clinical tool for tendinopathy management and healing monitoring.
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Affiliation(s)
- Ivana Ivankovic
- Faculty of MedicineInstitute for Biomedical Engineering and Institute of Pharmacology and ToxicologyUniversity of ZurichWinterthurerstrasse 190ZurichCH‐8057Switzerland
- Department of Information Technology and Electrical EngineeringInstitute for Biomedical EngineeringETH Zurich, Wolfgang‐Pauli‐Str. 27ZurichCH‐8093Switzerland
| | - Hsiao‐Chun Amy Lin
- Department of Biomedical Engineering and Environmental SciencesNational Tsing Hua UniversityNo.101, Sec.2, Kuang‐Fu RdHsinchu300044Taiwan
| | - Ali Özbek
- Faculty of MedicineInstitute for Biomedical Engineering and Institute of Pharmacology and ToxicologyUniversity of ZurichWinterthurerstrasse 190ZurichCH‐8057Switzerland
- Department of Information Technology and Electrical EngineeringInstitute for Biomedical EngineeringETH Zurich, Wolfgang‐Pauli‐Str. 27ZurichCH‐8093Switzerland
| | - Ana Orive
- Faculty of MedicineInstitute for Biomedical Engineering and Institute of Pharmacology and ToxicologyUniversity of ZurichWinterthurerstrasse 190ZurichCH‐8057Switzerland
- Department of Information Technology and Electrical EngineeringInstitute for Biomedical EngineeringETH Zurich, Wolfgang‐Pauli‐Str. 27ZurichCH‐8093Switzerland
| | - Xosé Luís Deán‐Ben
- Faculty of MedicineInstitute for Biomedical Engineering and Institute of Pharmacology and ToxicologyUniversity of ZurichWinterthurerstrasse 190ZurichCH‐8057Switzerland
- Department of Information Technology and Electrical EngineeringInstitute for Biomedical EngineeringETH Zurich, Wolfgang‐Pauli‐Str. 27ZurichCH‐8093Switzerland
| | - Daniel Razansky
- Faculty of MedicineInstitute for Biomedical Engineering and Institute of Pharmacology and ToxicologyUniversity of ZurichWinterthurerstrasse 190ZurichCH‐8057Switzerland
- Department of Information Technology and Electrical EngineeringInstitute for Biomedical EngineeringETH Zurich, Wolfgang‐Pauli‐Str. 27ZurichCH‐8093Switzerland
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2
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Graham MT, Sharma A, Padovano WM, Suresh V, Chiu A, Thon SM, Tuffaha S, Bell MAL. Optical absorption spectra and corresponding in vivo photoacoustic visualization of exposed peripheral nerves. JOURNAL OF BIOMEDICAL OPTICS 2023; 28:097001. [PMID: 37671115 PMCID: PMC10475953 DOI: 10.1117/1.jbo.28.9.097001] [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: 04/03/2023] [Revised: 08/15/2023] [Accepted: 08/21/2023] [Indexed: 09/07/2023]
Abstract
Significance Multispectral photoacoustic imaging has the potential to identify lipid-rich, myelinated nerve tissue in an interventional or surgical setting (e.g., to guide intraoperative decisions when exposing a nerve during reconstructive surgery by limiting operations to nerves needing repair, with no impact to healthy or regenerating nerves). Lipids have two optical absorption peaks within the NIR-II and NIR-III windows (i.e., 1000 to 1350 nm and 1550 to 1870 nm wavelength ranges, respectively) which can be exploited to obtain photoacoustic images. However, nerve visualization within the NIR-III window is more desirable due to higher lipid absorption peaks and a corresponding valley in the optical absorption of water. Aim We present the first known optical absorption characterizations, photoacoustic spectral demonstrations, and histological validations to support in vivo photoacoustic nerve imaging in the NIR-III window. Approach Four in vivo swine peripheral nerves were excised, and the optical absorption spectra of these fresh ex vivo nerves were characterized at wavelengths spanning 800 to 1880 nm, to provide the first known nerve optical absorbance spectra and to enable photoacoustic amplitude spectra characterization with the most optimal wavelength range. Prior to excision, the latter two of the four nerves were surrounded by aqueous, lipid-free, agarose blocks (i.e., 3% w/v agarose) to enhance acoustic coupling during in vivo multispectral photoacoustic imaging using the optimal NIR-III wavelengths (i.e., 1630 to 1850 nm) identified in the ex vivo studies. Results There was a verified characteristic lipid absorption peak at 1725 nm for each ex vivo nerve. Results additionally suggest that the 1630 to 1850 nm wavelength range can successfully visualize and differentiate lipid-rich nerves from surrounding water-containing and lipid-deficient tissues and materials. Conclusions Photoacoustic imaging using the optimal wavelengths identified and demonstrated for nerves holds promise for detection of myelination in exposed and isolated nerve tissue during a nerve repair surgery, with possible future implications for other surgeries and other optics-based technologies.
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Affiliation(s)
- Michelle T. Graham
- Johns Hopkins University, Department of Electrical and Computer Engineering, Baltimore, Maryland, United States
| | - Arunima Sharma
- Johns Hopkins University, Department of Electrical and Computer Engineering, Baltimore, Maryland, United States
| | - William M. Padovano
- Johns Hopkins School of Medicine, Department of Plastic and Reconstructive Surgery, Baltimore, Maryland, United States
| | - Visakha Suresh
- Johns Hopkins School of Medicine, Department of Plastic and Reconstructive Surgery, Baltimore, Maryland, United States
| | - Arlene Chiu
- Johns Hopkins University, Department of Electrical and Computer Engineering, Baltimore, Maryland, United States
| | - Susanna M. Thon
- Johns Hopkins University, Department of Electrical and Computer Engineering, Baltimore, Maryland, United States
| | - Sami Tuffaha
- Johns Hopkins School of Medicine, Department of Plastic and Reconstructive Surgery, Baltimore, Maryland, United States
| | - Muyinatu A. Lediju Bell
- Johns Hopkins University, Department of Electrical and Computer Engineering, Baltimore, Maryland, United States
- Johns Hopkins University, Department of Biomedical Engineering, Baltimore, Maryland, United States
- Johns Hopkins University, Department of Computer Science, Baltimore, Maryland, United States
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John S, Hester S, Basij M, Paul A, Xavierselvan M, Mehrmohammadi M, Mallidi S. Niche preclinical and clinical applications of photoacoustic imaging with endogenous contrast. PHOTOACOUSTICS 2023; 32:100533. [PMID: 37636547 PMCID: PMC10448345 DOI: 10.1016/j.pacs.2023.100533] [Citation(s) in RCA: 9] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 03/10/2022] [Revised: 06/30/2023] [Accepted: 07/14/2023] [Indexed: 08/29/2023]
Abstract
In the past decade, photoacoustic (PA) imaging has attracted a great deal of popularity as an emergent diagnostic technology owing to its successful demonstration in both preclinical and clinical arenas by various academic and industrial research groups. Such steady growth of PA imaging can mainly be attributed to its salient features, including being non-ionizing, cost-effective, easily deployable, and having sufficient axial, lateral, and temporal resolutions for resolving various tissue characteristics and assessing the therapeutic efficacy. In addition, PA imaging can easily be integrated with the ultrasound imaging systems, the combination of which confers the ability to co-register and cross-reference various features in the structural, functional, and molecular imaging regimes. PA imaging relies on either an endogenous source of contrast (e.g., hemoglobin) or those of an exogenous nature such as nano-sized tunable optical absorbers or dyes that may boost imaging contrast beyond that provided by the endogenous sources. In this review, we discuss the applications of PA imaging with endogenous contrast as they pertain to clinically relevant niches, including tissue characterization, cancer diagnostics/therapies (termed as theranostics), cardiovascular applications, and surgical applications. We believe that PA imaging's role as a facile indicator of several disease-relevant states will continue to expand and evolve as it is adopted by an increasing number of research laboratories and clinics worldwide.
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Affiliation(s)
- Samuel John
- Department of Biomedical Engineering, Wayne State University, Detroit, MI, USA
| | - Scott Hester
- Department of Biomedical Engineering, Tufts University, Medford, MA, USA
| | - Maryam Basij
- Department of Biomedical Engineering, Wayne State University, Detroit, MI, USA
| | - Avijit Paul
- Department of Biomedical Engineering, Tufts University, Medford, MA, USA
| | | | - Mohammad Mehrmohammadi
- Department of Imaging Sciences, University of Rochester Medical Center, Rochester, NY, USA
- Department of Biomedical Engineering, University of Rochester, Rochester, NY, USA
- Wilmot Cancer Institute, Rochester, NY, USA
| | - Srivalleesha Mallidi
- Department of Biomedical Engineering, Tufts University, Medford, MA, USA
- Wellman Center for Photomedicine, Massachusetts General Hospital, Boston, MA 02114, USA
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Jüstel D, Irl H, Hinterwimmer F, Dehner C, Simson W, Navab N, Schneider G, Ntziachristos V. Spotlight on Nerves: Portable Multispectral Optoacoustic Imaging of Peripheral Nerve Vascularization and Morphology. ADVANCED SCIENCE (WEINHEIM, BADEN-WURTTEMBERG, GERMANY) 2023:e2301322. [PMID: 37092572 DOI: 10.1002/advs.202301322] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/27/2023] [Indexed: 05/03/2023]
Abstract
Various morphological and functional parameters of peripheral nerves and their vascular supply are indicative of pathological changes due to injury or disease. Based on recent improvements in optoacoustic image quality, the ability of multispectral optoacoustic tomography, to investigate the vascular environment and morphology of peripheral nerves is explored in vivo in a pilot study on healthy volunteers in tandem with ultrasound imaging (OPUS). The unique ability of optoacoustic imaging to visualize the vasa nervorum by observing intraneural vessels in healthy nerves is showcased in vivo for the first time. In addition, it is demonstrated that the label-free spectral optoacoustic contrast of the perfused connective tissue of peripheral nerves can be linked to the endogenous contrast of hemoglobin and collagen. Metrics are introduced to analyze the composition of tissue based on its optoacoustic contrast and show that the high-resolution spectral contrast reveals specific differences between nervous tissue and reference tissue in the nerve's surrounding. How this showcased extraction of peripheral nerve characteristics using multispectral optoacoustic and ultrasound imaging could offer new insights into the pathophysiology of nerve damage and neuropathies, for example, in the context of diabetes is discussed.
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Affiliation(s)
- Dominik Jüstel
- Institute of Biological and Medical Imaging, Helmholtz Zentrum München, D-85764, Neuherberg, Germany
- Institute of Computational Biology, Helmholtz Zentrum München, D-85764, Neuherberg, Germany
- Chair of Biological Imaging at the Central Institute for Translational Cancer Research (TranslaTUM), School of Medicine, Technical University of Munich, D-81675, Munich, Germany
| | - Hedwig Irl
- Department of Anesthesiology and Intensive Care, School of Medicine, Klinikum Rechts Der Isar, Technical University of Munich, D-81675, Munich, Germany
| | - Florian Hinterwimmer
- Department of Orthopaedics and Sport Orthopaedics, School of Medicine, Klinikum Rechts Der Isar, Technical University of Munich, D-81675, Munich, Germany
| | - Christoph Dehner
- Institute of Biological and Medical Imaging, Helmholtz Zentrum München, D-85764, Neuherberg, Germany
- Chair of Biological Imaging at the Central Institute for Translational Cancer Research (TranslaTUM), School of Medicine, Technical University of Munich, D-81675, Munich, Germany
| | - Walter Simson
- Chair for Computer Aided Medical Procedures and Augmented Reality, Technical University of Munich, D-80333, Munich, Germany
| | - Nassir Navab
- Chair for Computer Aided Medical Procedures and Augmented Reality, Technical University of Munich, D-80333, Munich, Germany
- Munich Institute of Robotics and Machine Intelligence, Technical University of Munich, D-80992, Munich, Germany
| | - Gerhard Schneider
- Department of Anesthesiology and Intensive Care, School of Medicine, Klinikum Rechts Der Isar, Technical University of Munich, D-81675, Munich, Germany
| | - Vasilis Ntziachristos
- Institute of Biological and Medical Imaging, Helmholtz Zentrum München, D-85764, Neuherberg, Germany
- Chair of Biological Imaging at the Central Institute for Translational Cancer Research (TranslaTUM), School of Medicine, Technical University of Munich, D-81675, Munich, Germany
- Munich Institute of Robotics and Machine Intelligence, Technical University of Munich, D-80992, Munich, Germany
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5
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Usevitch DE, Bronheim RS, Reyes MC, Babilonia C, Margalit A, Jain A, Armand M. Review of Enhanced Handheld Surgical Drills. Crit Rev Biomed Eng 2023; 51:29-50. [PMID: 37824333 PMCID: PMC10874117 DOI: 10.1615/critrevbiomedeng.2023049106] [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] [Indexed: 10/14/2023]
Abstract
The handheld drill has been used as a conventional surgical tool for centuries. Alongside the recent successes of surgical robots, the development of new and enhanced medical drills has improved surgeon ability without requiring the high cost and consuming setup times that plague medical robot systems. This work provides an overview of enhanced handheld surgical drill research focusing on systems that include some form of image guidance and do not require additional hardware that physically supports or guides drilling. Drilling is reviewed by main contribution divided into audio-, visual-, or hardware-enhanced drills. A vision for future work to enhance handheld drilling systems is also discussed.
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Affiliation(s)
- David E. Usevitch
- Laboratory for Computational Sensing and Robotics (LCSR), Johns Hopkins University, Baltimore, MD, United States
- Department of Orthopedic Surgery, Johns Hopkins University, Baltimore, MD, United States
| | - Rachel S. Bronheim
- Department of Orthopedic Surgery, Johns Hopkins University, Baltimore, MD, United States
| | - Miguel C. Reyes
- Department of Orthopedic Surgery, Johns Hopkins University, Baltimore, MD, United States
| | - Carlos Babilonia
- Department of Orthopedic Surgery, Johns Hopkins University, Baltimore, MD, United States
| | - Adam Margalit
- Department of Orthopedic Surgery, Johns Hopkins University, Baltimore, MD, United States
| | - Amit Jain
- Department of Orthopedic Surgery, Johns Hopkins University, Baltimore, MD, United States
| | - Mehran Armand
- Laboratory for Computational Sensing and Robotics (LCSR), Johns Hopkins University, Baltimore, MD, United States
- Department of Orthopedic Surgery, Johns Hopkins University, Baltimore, MD, United States
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6
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Bodea SV, Westmeyer GG. Photoacoustic Neuroimaging - Perspectives on a Maturing Imaging Technique and its Applications in Neuroscience. Front Neurosci 2021; 15:655247. [PMID: 34220420 PMCID: PMC8253050 DOI: 10.3389/fnins.2021.655247] [Citation(s) in RCA: 10] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/18/2021] [Accepted: 03/08/2021] [Indexed: 11/13/2022] Open
Abstract
A prominent goal of neuroscience is to improve our understanding of how brain structure and activity interact to produce perception, emotion, behavior, and cognition. The brain's network activity is inherently organized in distinct spatiotemporal patterns that span scales from nanometer-sized synapses to meter-long nerve fibers and millisecond intervals between electrical signals to decades of memory storage. There is currently no single imaging method that alone can provide all the relevant information, but intelligent combinations of complementary techniques can be effective. Here, we thus present the latest advances in biomedical and biological engineering on photoacoustic neuroimaging in the context of complementary imaging techniques. A particular focus is placed on recent advances in whole-brain photoacoustic imaging in rodent models and its influential role in bridging the gap between fluorescence microscopy and more non-invasive techniques such as magnetic resonance imaging (MRI). We consider current strategies to address persistent challenges, particularly in developing molecular contrast agents, and conclude with an overview of potential future directions for photoacoustic neuroimaging to provide deeper insights into healthy and pathological brain processes.
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Affiliation(s)
- Silviu-Vasile Bodea
- Department of Chemistry and School of Medicine, Technical University of Munich (TUM), Munich, Germany
- Institute for Synthetic Biomedicine, Helmholtz Center Munich, Munich, Germany
| | - Gil Gregor Westmeyer
- Department of Chemistry and School of Medicine, Technical University of Munich (TUM), Munich, Germany
- Institute for Synthetic Biomedicine, Helmholtz Center Munich, Munich, Germany
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7
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Wiacek A, Lediju Bell MA. Photoacoustic-guided surgery from head to toe [Invited]. BIOMEDICAL OPTICS EXPRESS 2021; 12:2079-2117. [PMID: 33996218 PMCID: PMC8086464 DOI: 10.1364/boe.417984] [Citation(s) in RCA: 20] [Impact Index Per Article: 6.7] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/18/2020] [Revised: 02/17/2021] [Accepted: 02/18/2021] [Indexed: 05/04/2023]
Abstract
Photoacoustic imaging-the combination of optics and acoustics to visualize differences in optical absorption - has recently demonstrated strong viability as a promising method to provide critical guidance of multiple surgeries and procedures. Benefits include its potential to assist with tumor resection, identify hemorrhaged and ablated tissue, visualize metal implants (e.g., needle tips, tool tips, brachytherapy seeds), track catheter tips, and avoid accidental injury to critical subsurface anatomy (e.g., major vessels and nerves hidden by tissue during surgery). These benefits are significant because they reduce surgical error, associated surgery-related complications (e.g., cancer recurrence, paralysis, excessive bleeding), and accidental patient death in the operating room. This invited review covers multiple aspects of the use of photoacoustic imaging to guide both surgical and related non-surgical interventions. Applicable organ systems span structures within the head to contents of the toes, with an eye toward surgical and interventional translation for the benefit of patients and for use in operating rooms and interventional suites worldwide. We additionally include a critical discussion of complete systems and tools needed to maximize the success of surgical and interventional applications of photoacoustic-based technology, spanning light delivery, acoustic detection, and robotic methods. Multiple enabling hardware and software integration components are also discussed, concluding with a summary and future outlook based on the current state of technological developments, recent achievements, and possible new directions.
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Affiliation(s)
- Alycen Wiacek
- Department of Electrical and Computer Engineering, 3400 N. Charles St., Johns Hopkins University, Baltimore, MD 21218, USA
| | - Muyinatu A. Lediju Bell
- Department of Electrical and Computer Engineering, 3400 N. Charles St., Johns Hopkins University, Baltimore, MD 21218, USA
- Department of Biomedical Engineering, 3400 N. Charles St., Johns Hopkins University, Baltimore, MD 21218, USA
- Department of Computer Science, 3400 N. Charles St., Johns Hopkins University, Baltimore, MD 21218, USA
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8
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Huang J, Wiacek A, Kempski KM, Palmer T, Izzi J, Beck S, Lediju Bell MA. Empirical assessment of laser safety for photoacoustic-guided liver surgeries. BIOMEDICAL OPTICS EXPRESS 2021; 12:1205-1216. [PMID: 33796347 PMCID: PMC7984790 DOI: 10.1364/boe.415054] [Citation(s) in RCA: 13] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/17/2020] [Revised: 01/19/2021] [Accepted: 01/19/2021] [Indexed: 05/03/2023]
Abstract
Photoacoustic imaging is a promising technique to provide guidance during multiple surgeries and procedures. One challenge with this technique is that major blood vessels in the liver are difficult to differentiate from surrounding tissue within current safety limits, which only exist for human skin and eyes. In this paper, we investigate the safety of raising this limit for liver tissue excited with a 750 nm laser wavelength and approximately 30 mJ laser energy (corresponding to approximately 150 mJ/cm2 fluence). Laparotomies were performed on six swine to empirically investigate potential laser-related liver damage. Laser energy was applied for temporal durations of 1 minute, 10 minutes, and 20 minutes. Lasered liver lobes were excised either immediately after laser application (3 swine) or six weeks after surgery (3 swine). Cell damage was assessed using liver damage blood biomarkers and histopathology analyses of 41 tissue samples total. The biomarkers were generally normal over a 6 week post-surgical in vivo study period. Histopathology revealed no cell death, although additional pathology was present (i.e., hemorrhage, inflammation, fibrosis) due to handling, sample resection, and fibrous adhesions as a result of the laparotomy. These results support a new protocol for studying laser-related liver damage, indicating the potential to raise the safety limit for liver photoacoustic imaging to approximately 150 mJ/cm2 with a laser wavelength of 750 nm and for imaging durations up to 10 minutes without causing cell death. This investigation and protocol may be applied to other tissues and extended to additional wavelengths and energies, which is overall promising for introducing new tissue-specific laser safety limits for photoacoustic-guided surgery.
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Affiliation(s)
- Jiaqi Huang
- Department of Biomedical Engineering,
Johns Hopkins University, Baltimore, MD
21218, USA
| | - Alycen Wiacek
- Department of Electrical and Computer
Engineering, Johns Hopkins University,
Baltimore, MD 21218, USA
| | - Kelley M. Kempski
- Department of Biomedical Engineering,
Johns Hopkins University, Baltimore, MD
21218, USA
| | - Theron Palmer
- Department of Biomedical Engineering,
Johns Hopkins University, Baltimore, MD
21218, USA
| | - Jessica Izzi
- Department of Molecular and Comparative
Pathobiology, Johns Hopkins University,
Baltimore, MD 21218, USA
| | - Sarah Beck
- Department of Molecular and Comparative
Pathobiology, Johns Hopkins University,
Baltimore, MD 21218, USA
| | - Muyinatu A. Lediju Bell
- Department of Biomedical Engineering,
Johns Hopkins University, Baltimore, MD
21218, USA
- Department of Electrical and Computer
Engineering, Johns Hopkins University,
Baltimore, MD 21218, USA
- Department of Computer Science,
Johns Hopkins University, Baltimore, MD
21218, USA
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9
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Li M, Vu T, Sankin G, Winship B, Boydston K, Terry R, Zhong P, Yao J. Internal-Illumination Photoacoustic Tomography Enhanced by a Graded-Scattering Fiber Diffuser. IEEE TRANSACTIONS ON MEDICAL IMAGING 2021; 40:346-356. [PMID: 32986546 PMCID: PMC7772228 DOI: 10.1109/tmi.2020.3027199] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/20/2023]
Abstract
The penetration depth of photoacoustic imaging in biological tissues has been fundamentally limited by the strong optical attenuation when light is delivered externally through the tissue surface. To address this issue, we previously reported internal-illumination photoacoustic imaging using a customized radial-emission optical fiber diffuser, which, however, has complex fabrication, high cost, and non-uniform light emission. To overcome these shortcomings, we have developed a new type of low-cost fiber diffusers based on a graded-scattering method in which the optical scattering of the fiber diffuser is gradually increased as the light travels. The graded scattering can compensate for the optical attenuation and provide relatively uniform light emission along the diffuser. We performed Monte Carlo numerical simulations to optimize several key design parameters, including the number of scattering segments, scattering anisotropy factor, divergence angle of the optical fiber, and reflective index of the surrounding medium. These optimized parameters collectively result in uniform light emission along the fiber diffuser and can be flexibly adjusted to accommodate different applications. We fabricated and characterized the prototype fiber diffuser made of agarose gel and intralipid. Equipped with the new fiber diffuser, we performed thorough proof-of-concept studies on ex vivo tissue phantoms and an in vivo swine model to demonstrate the deep-imaging capability (~10 cm achieved ex vivo) of photoacoustic tomography. We believe that the internal light delivery via the optimized fiber diffuser is an effective strategy to image deep targets (e.g., kidney) in large animals or humans.
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10
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Schneider C, Nikitichev D, Xia W, Gurusamy K, Desjardins AE, Davidson BR. Multispectral tissue mapping: developing a concept for the optical evaluation of liver disease. J Med Imaging (Bellingham) 2020; 7:066001. [PMID: 33376759 PMCID: PMC7757517 DOI: 10.1117/1.jmi.7.6.066001] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/04/2020] [Accepted: 12/01/2020] [Indexed: 11/14/2022] Open
Abstract
Purpose: Alterations in the optical absorption behavior of liver tissue secondary to pathological processes can be evaluated by multispectral analysis, which is increasingly being explored as an imaging adjunct for use in liver surgery. Current methods are either invasive or have a limited wavelength spectrum, which restricts utility. This proof of concept study describes the development of a multispectral imaging (MSI) method called multispectral tissue mapping (MTM) that addresses these issues. Approach: The imaging system consists of a tunable excitation light source and a near-infrared camera. Following the development stage, proof of concept experiments are carried out where absorption spectra from colorectal cancer liver metastasis (CRLM), hepatocellular carcinoma (HCC), and liver steatosis specimen are acquired and compared to controls. Absorption spectra are compared to histopathology examination as the current gold standard for tissue assessment. Generalized linear mixed modeling is employed to compare absorption characteristics of individual pixels and to select wavelengths for false color image processing with the aim of visually enhancing cancer tissue. Results: Analysis of individual pixels revealed distinct absorption spectra therefore suggesting that MTM is possible. A prominent absorption peak at 1210 nm was found in lipid-rich animal tissues and steatotic liver specimen. Liver cancer tissue had a heterogeneous appearance on MSI. Subsequent statistical analysis suggests that measuring changes in absorption behavior may be a feasible method to estimate the pixel-based probability of cancer being present. In CRLM, this was observed throughout 1100 to 1700 nm, whereas in HCC it was concentrated around 1140 and 1430 nm. False color image processing visibly enhances contrast between cancer and normal liver tissues. Conclusions: The system's ability to enable no-touch MSI at 1100 to 1700 nm was demonstrated. Preliminary data suggest that MTM warrants further exploration as a potential imaging tool for the detection of liver cancer during surgery.
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Affiliation(s)
- Crispin Schneider
- University College London, Division of Surgery and Interventional Science, Royal Free Campus, London, United Kingdom
| | - Daniil Nikitichev
- University College London, Wellcome/EPSRC Centre for Surgical and Interventional Sciences, London, United Kingdom.,University College London, Department of Medical Physics and Bioengineering, London, United Kingdom
| | - Wenfeng Xia
- University College London, Wellcome/EPSRC Centre for Surgical and Interventional Sciences, London, United Kingdom.,University College London, Department of Medical Physics and Bioengineering, London, United Kingdom
| | - Kurinchi Gurusamy
- University College London, Division of Surgery and Interventional Science, Royal Free Campus, London, United Kingdom.,University College London, Wellcome/EPSRC Centre for Surgical and Interventional Sciences, London, United Kingdom
| | - Adrien E Desjardins
- University College London, Wellcome/EPSRC Centre for Surgical and Interventional Sciences, London, United Kingdom.,University College London, Department of Medical Physics and Bioengineering, London, United Kingdom
| | - Brian R Davidson
- University College London, Division of Surgery and Interventional Science, Royal Free Campus, London, United Kingdom.,University College London, Wellcome/EPSRC Centre for Surgical and Interventional Sciences, London, United Kingdom
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11
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Kuniyil Ajith Singh M, Xia W. Portable and Affordable Light Source-Based Photoacoustic Tomography. SENSORS (BASEL, SWITZERLAND) 2020; 20:E6173. [PMID: 33138296 PMCID: PMC7663770 DOI: 10.3390/s20216173] [Citation(s) in RCA: 20] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 10/08/2020] [Revised: 10/27/2020] [Accepted: 10/28/2020] [Indexed: 12/27/2022]
Abstract
Photoacoustic imaging is a hybrid imaging modality that offers the advantages of optical (spectroscopic contrast) and ultrasound imaging (scalable spatial resolution and imaging depth). This promising modality has shown excellent potential in a wide range of preclinical and clinical imaging and sensing applications. Even though photoacoustic imaging technology has matured in research settings, its clinical translation is not happening at the expected pace. One of the main reasons for this is the requirement of bulky and expensive pulsed lasers for excitation. To accelerate the clinical translation of photoacoustic imaging and explore its potential in resource-limited settings, it is of paramount importance to develop portable and affordable light sources that can be used as the excitation light source. In this review, we focus on the following aspects: (1) the basic theory of photoacoustic imaging; (2) inexpensive light sources and different implementations; and (3) important preclinical and clinical applications, demonstrated using affordable light source-based photoacoustics. The main focus will be on laser diodes and light-emitting diodes as they have demonstrated promise in photoacoustic tomography-the key technological developments in these areas will be thoroughly reviewed. We believe that this review will be a useful opus for both the beginners and experts in the field of biomedical photoacoustic imaging.
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Affiliation(s)
- Mithun Kuniyil Ajith Singh
- Research and Business Development Division, CYBERDYNE INC., Stationsplein 45, A4.004, 3013 AK Rotterdam, The Netherlands;
| | - Wenfeng Xia
- School of Biomedical Engineering& Imaging Sciences, King’s College London, King’s Health Partners, St Thomas’ Hospital, London SE1 7EH, UK
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12
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Graham MT, Bell MAL. Photoacoustic Spatial Coherence Theory and Applications to Coherence-Based Image Contrast and Resolution. IEEE TRANSACTIONS ON ULTRASONICS, FERROELECTRICS, AND FREQUENCY CONTROL 2020; 67:2069-2084. [PMID: 32746173 PMCID: PMC8221408 DOI: 10.1109/tuffc.2020.2999343] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/04/2023]
Abstract
The photoacoustic effect relies on optical transmission, which causes thermal expansion and generates acoustic signals. Coherence-based photoacoustic signal processing is often preferred over more traditional signal processing methods due to improved signal-to-noise ratios, imaging depth, and resolution in applications such as cell tracking, blood flow estimation, and imaging. However, these applications lack a theoretical spatial coherence model to support their implementation. In this article, the photoacoustic spatial coherence theory is derived to generate theoretical spatial coherence functions. These theoretical spatial coherence functions are compared with k-Wave simulated data and experimental data from point and circular targets (0.1-12 mm in diameter) with generally good agreement, particularly in the shorter spatial lag region. The derived theory was used to hypothesize and test previously unexplored principles for optimizing photoacoustic short-lag spatial coherence (SLSC) images, including the influence of the incident light profile on photoacoustic spatial coherence functions and associated SLSC image contrast and resolution. Results also confirm previous trends from experimental observations, including changes in SLSC image resolution and contrast as a function of the first M lags summed to create SLSC images. For example, small targets (e.g., <1-4 mm in diameter) can be imaged with larger M values to boost target contrast and resolution, and contrast can be further improved by reducing the illuminating beam to a size that is smaller than the target size. Overall, the presented theory provides a promising foundation to support a variety of coherence-based photoacoustic signal processing methods, and the associated theory-based simulation methods are more straightforward than the existing k-Wave simulation methods for SLSC images.
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13
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Zlitni A, Gowrishankar G, Steinberg I, Haywood T, Sam Gambhir S. Maltotriose-based probes for fluorescence and photoacoustic imaging of bacterial infections. Nat Commun 2020; 11:1250. [PMID: 32144257 PMCID: PMC7060353 DOI: 10.1038/s41467-020-14985-8] [Citation(s) in RCA: 66] [Impact Index Per Article: 16.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/12/2018] [Accepted: 02/13/2020] [Indexed: 11/09/2022] Open
Abstract
Currently, there are no non-invasive tools to accurately diagnose wound and surgical site infections before they become systemic or cause significant anatomical damage. Fluorescence and photoacoustic imaging are cost-effective imaging modalities that can be used to noninvasively diagnose bacterial infections when paired with a molecularly targeted infection imaging agent. Here, we develop a fluorescent derivative of maltotriose (Cy7-1-maltotriose), which is shown to be taken up in a variety of gram-positive and gram-negative bacterial strains in vitro. In vivo fluorescence and photoacoustic imaging studies highlight the ability of this probe to detect infection, assess infection burden, and visualize the effectiveness of antibiotic treatment in E. coli-induced myositis and a clinically relevant S. aureus wound infection murine model. In addition, we show that maltotriose is an ideal scaffold for infection imaging agents encompassing better pharmacokinetic properties and in vivo stability than other maltodextrins (e.g. maltohexose).
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Affiliation(s)
- Aimen Zlitni
- Molecular Imaging Program at Stanford, Stanford University, Stanford, CA, 94305, USA
- Department of Radiology, Stanford University, Stanford, CA, 94305, USA
| | - Gayatri Gowrishankar
- Molecular Imaging Program at Stanford, Stanford University, Stanford, CA, 94305, USA
- Department of Radiology, Stanford University, Stanford, CA, 94305, USA
| | - Idan Steinberg
- Molecular Imaging Program at Stanford, Stanford University, Stanford, CA, 94305, USA
- Department of Radiology, Stanford University, Stanford, CA, 94305, USA
| | - Tom Haywood
- Molecular Imaging Program at Stanford, Stanford University, Stanford, CA, 94305, USA
- Department of Radiology, Stanford University, Stanford, CA, 94305, USA
| | - Sanjiv Sam Gambhir
- Molecular Imaging Program at Stanford, Stanford University, Stanford, CA, 94305, USA.
- Department of Radiology, Stanford University, Stanford, CA, 94305, USA.
- Department of Bioengineering, Department of Materials Science & Engineering, Stanford University, Stanford, CA, 94305, USA.
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14
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Abstract
Photoacoustic imaging has demonstrated its potential for diagnosis over the last few decades. In recent years, its unique imaging capabilities, such as detecting structural, functional and molecular information in deep regions with optical contrast and ultrasound resolution, have opened up many opportunities for photoacoustic imaging to be used during image-guided interventions. Numerous studies have investigated the capability of photoacoustic imaging to guide various interventions such as drug delivery, therapies, surgeries, and biopsies. These studies have demonstrated that photoacoustic imaging can guide these interventions effectively and non-invasively in real-time. In this minireview, we will elucidate the potential of photoacoustic imaging in guiding active and passive drug deliveries, photothermal therapy, and other surgeries and therapies using endogenous and exogenous contrast agents including organic, inorganic, and hybrid nanoparticles, as well as needle-based biopsy procedures. The advantages of photoacoustic imaging in guided interventions will be discussed. It will, therefore, show that photoacoustic imaging has great potential in real-time interventions due to its advantages over current imaging modalities like computed tomography, magnetic resonance imaging, and ultrasound imaging.
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Affiliation(s)
- Madhumithra S Karthikesh
- Bioengineering Program and Institute for Bioengineering Research, University of Kansas, Lawrence, KS 66045, USA
| | - Xinmai Yang
- Bioengineering Program and Institute for Bioengineering Research, University of Kansas, Lawrence, KS 66045, USA
- Department of Mechanical Engineering, University of Kansas, Lawrence, KS 66045, USA
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15
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Zhao T, Desjardins AE, Ourselin S, Vercauteren T, Xia W. Minimally invasive photoacoustic imaging: Current status and future perspectives. PHOTOACOUSTICS 2019; 16:100146. [PMID: 31871889 PMCID: PMC6909166 DOI: 10.1016/j.pacs.2019.100146] [Citation(s) in RCA: 65] [Impact Index Per Article: 13.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/06/2019] [Revised: 07/26/2019] [Accepted: 09/30/2019] [Indexed: 05/09/2023]
Abstract
Photoacoustic imaging (PAI) is an emerging biomedical imaging modality that is based on optical absorption contrast, capable of revealing distinct spectroscopic signatures of tissue at high spatial resolution and large imaging depths. However, clinical applications of conventional non-invasive PAI systems have been restricted to examinations of tissues at depths less than a few cm due to strong light attenuation. Minimally invasive photoacoustic imaging (miPAI) has greatly extended the landscape of PAI by delivering excitation light within tissue through miniature fibre-optic probes. In the past decade, various miPAI systems have been developed with demonstrated applicability in several clinical fields. In this article, we present an overview of the current status of miPAI and our thoughts on future perspectives.
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Affiliation(s)
- Tianrui Zhao
- School of Biomedical Engineering and Imaging Sciences, King’s College London, 4th Floor, Lambeth Wing St Thomas’ Hospital London, London SE1 7EH, United Kingdom
| | - Adrien E. Desjardins
- Department of Medical Physics and Biomedical Engineering, University College London, Gower Street, London WC1E 6BT, United Kingdom
- Wellcome/EPSRC Centre for Interventional and Surgical Sciences, University College London, Charles Bell House, 67-73 Riding House Street, London W1W 7EJ, United Kingdom
| | - Sebastien Ourselin
- School of Biomedical Engineering and Imaging Sciences, King’s College London, 4th Floor, Lambeth Wing St Thomas’ Hospital London, London SE1 7EH, United Kingdom
- Department of Medical Physics and Biomedical Engineering, University College London, Gower Street, London WC1E 6BT, United Kingdom
| | - Tom Vercauteren
- School of Biomedical Engineering and Imaging Sciences, King’s College London, 4th Floor, Lambeth Wing St Thomas’ Hospital London, London SE1 7EH, United Kingdom
- Department of Medical Physics and Biomedical Engineering, University College London, Gower Street, London WC1E 6BT, United Kingdom
| | - Wenfeng Xia
- School of Biomedical Engineering and Imaging Sciences, King’s College London, 4th Floor, Lambeth Wing St Thomas’ Hospital London, London SE1 7EH, United Kingdom
- Department of Medical Physics and Biomedical Engineering, University College London, Gower Street, London WC1E 6BT, United Kingdom
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16
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Steinberg I, Huland DM, Vermesh O, Frostig HE, Tummers WS, Gambhir SS. Photoacoustic clinical imaging. PHOTOACOUSTICS 2019; 14:77-98. [PMID: 31293884 PMCID: PMC6595011 DOI: 10.1016/j.pacs.2019.05.001] [Citation(s) in RCA: 286] [Impact Index Per Article: 57.2] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/06/2018] [Revised: 04/09/2019] [Accepted: 05/30/2019] [Indexed: 05/18/2023]
Abstract
Photoacoustic is an emerging biomedical imaging modality, which allows imaging optical absorbers in the tissue by acoustic detectors (light in - sound out). Such a technique has an immense potential for clinical translation since it allows high resolution, sufficient imaging depth, with diverse endogenous and exogenous contrast, and is free from ionizing radiation. In recent years, tremendous developments in both the instrumentation and imaging agents have been achieved. These opened avenues for clinical imaging of various sites allowed applications such as brain functional imaging, breast cancer screening, diagnosis of psoriasis and skin lesions, biopsy and surgery guidance, the guidance of tumor therapies at the reproductive and urological systems, as well as imaging tumor metastases at the sentinel lymph nodes. Here we survey the various clinical and pre-clinical literature and discuss the potential applications and hurdles that still need to be overcome.
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Affiliation(s)
- Idan Steinberg
- Department of Radiology, At Stanford University, School of Medicine, Stanford, CA, United States
- Department of Bioengineering, At Stanford University, School of Medicine, Stanford, CA, United States
| | - David M. Huland
- Department of Radiology, At Stanford University, School of Medicine, Stanford, CA, United States
- Molecular Imaging Program at Stanford, Canary Center at Stanford for Cancer Early Detection, At Stanford University, School of Medicine, Stanford, CA, United States
| | - Ophir Vermesh
- Department of Radiology, At Stanford University, School of Medicine, Stanford, CA, United States
- Molecular Imaging Program at Stanford, Canary Center at Stanford for Cancer Early Detection, At Stanford University, School of Medicine, Stanford, CA, United States
| | - Hadas E. Frostig
- Department of Radiology, At Stanford University, School of Medicine, Stanford, CA, United States
- Molecular Imaging Program at Stanford, Canary Center at Stanford for Cancer Early Detection, At Stanford University, School of Medicine, Stanford, CA, United States
| | - Willemieke S. Tummers
- Department of Radiology, At Stanford University, School of Medicine, Stanford, CA, United States
- Molecular Imaging Program at Stanford, Canary Center at Stanford for Cancer Early Detection, At Stanford University, School of Medicine, Stanford, CA, United States
| | - Sanjiv S. Gambhir
- Department of Radiology, At Stanford University, School of Medicine, Stanford, CA, United States
- Department of Bioengineering, At Stanford University, School of Medicine, Stanford, CA, United States
- Department of Materials Science & Engineering, At Stanford University, School of Medicine, Stanford, CA, United States
- Molecular Imaging Program at Stanford, Canary Center at Stanford for Cancer Early Detection, At Stanford University, School of Medicine, Stanford, CA, United States
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17
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Xia W, West SJ, Finlay MC, Pratt R, Mathews S, Mari JM, Ourselin S, David AL, Desjardins AE. Three-Dimensional Ultrasonic Needle Tip Tracking with a Fiber-Optic Ultrasound Receiver. J Vis Exp 2018. [PMID: 30199033 PMCID: PMC6231697 DOI: 10.3791/57207] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/13/2022] Open
Abstract
Ultrasound is frequently used for guiding minimally invasive procedures, but visualizing medical devices is often challenging with this imaging modality. When visualization is lost, the medical device can cause trauma to critical tissue structures. Here, a method to track the needle tip during ultrasound image-guided procedures is presented. This method involves the use of a fiber-optic ultrasound receiver that is affixed within the cannula of a medical needle to communicate ultrasonically with the external ultrasound probe. This custom probe comprises a central transducer element array and side element arrays. In addition to conventional two-dimensional (2D) B-mode ultrasound imaging provided by the central array, three-dimensional (3D) needle tip tracking is provided by the side arrays. For B-mode ultrasound imaging, a standard transmit-receive sequence with electronic beamforming is performed. For ultrasonic tracking, Golay-coded ultrasound transmissions from the 4 side arrays are received by the hydrophone sensor, and subsequently the received signals are decoded to identify the needle tip's spatial location with respect to the ultrasound imaging probe. As a preliminary validation of this method, insertions of the needle/hydrophone pair were performed in clinically realistic contexts. This novel ultrasound imaging/tracking method is compatible with current clinical workflow, and it provides reliable device tracking during in-plane and out-of-plane needle insertions.
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Affiliation(s)
- Wenfeng Xia
- Wellcome/EPSRC Centre for Interventional and Surgical Sciences, University College London; Department of Medical Physics and Biomedical Engineering, University College London;
| | - Simeon J West
- Department of Anaesthesia, University College Hospital
| | - Malcolm C Finlay
- Department of Medical Physics and Biomedical Engineering, University College London; St Bartholomew's Hospital and Queen Mary University of London
| | - Rosalind Pratt
- Institute for Women's Health, University College London; Centre for Medical Imaging Computing, University College London
| | - Sunish Mathews
- Wellcome/EPSRC Centre for Interventional and Surgical Sciences, University College London; Department of Medical Physics and Biomedical Engineering, University College London
| | | | - Sebastien Ourselin
- Wellcome/EPSRC Centre for Interventional and Surgical Sciences, University College London; Department of Medical Physics and Biomedical Engineering, University College London; Centre for Medical Imaging Computing, University College London
| | - Anna L David
- Wellcome/EPSRC Centre for Interventional and Surgical Sciences, University College London; Institute for Women's Health, University College London; Department of Development and Regeneration, KU Leuven (Katholieke Universiteit); NIHR University College London Hospitals Biomedical Research Centre
| | - Adrien E Desjardins
- Wellcome/EPSRC Centre for Interventional and Surgical Sciences, University College London; Department of Medical Physics and Biomedical Engineering, University College London
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18
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19
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Xia W, Kuniyil Ajith Singh M, Maneas E, Sato N, Shigeta Y, Agano T, Ourselin S, J West S, E Desjardins A. Handheld Real-Time LED-Based Photoacoustic and Ultrasound Imaging System for Accurate Visualization of Clinical Metal Needles and Superficial Vasculature to Guide Minimally Invasive Procedures. SENSORS (BASEL, SWITZERLAND) 2018; 18:E1394. [PMID: 29724014 PMCID: PMC5982119 DOI: 10.3390/s18051394] [Citation(s) in RCA: 43] [Impact Index Per Article: 7.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 03/10/2018] [Revised: 04/25/2018] [Accepted: 04/27/2018] [Indexed: 01/11/2023]
Abstract
Ultrasound imaging is widely used to guide minimally invasive procedures, but the visualization of the invasive medical device and the procedure’s target is often challenging. Photoacoustic imaging has shown great promise for guiding minimally invasive procedures, but clinical translation of this technology has often been limited by bulky and expensive excitation sources. In this work, we demonstrate the feasibility of guiding minimally invasive procedures using a dual-mode photoacoustic and ultrasound imaging system with excitation from compact arrays of light-emitting diodes (LEDs) at 850 nm. Three validation experiments were performed. First, clinical metal needles inserted into biological tissue were imaged. Second, the imaging depth of the system was characterized using a blood-vessel-mimicking phantom. Third, the superficial vasculature in human volunteers was imaged. It was found that photoacoustic imaging enabled needle visualization with signal-to-noise ratios that were 1.2 to 2.2 times higher than those obtained with ultrasound imaging, over insertion angles of 26 to 51 degrees. With the blood vessel mimicking phantom, the maximum imaging depth was 38 mm. The superficial vasculature of a human middle finger and a human wrist were clearly visualized in real-time. We conclude that the LED-based system is promising for guiding minimally invasive procedures with peripheral tissue targets.
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Affiliation(s)
- Wenfeng Xia
- Wellcome/EPSRC Centre for Interventional and Surgical Sciences, University College London, Charles Bell House, 67-73 Riding House Street, London W1W 7EJ, UK.
- Department of Medical Physics and Biomedical Engineering, University College London, Gower Street, London WC1E 6BT, UK.
| | - Mithun Kuniyil Ajith Singh
- Research and Business Development Division, PreXion Corporation, Stationsplein 45 A4.004, 3013AK Rotterdam, The Netherlands.
| | - Efthymios Maneas
- Wellcome/EPSRC Centre for Interventional and Surgical Sciences, University College London, Charles Bell House, 67-73 Riding House Street, London W1W 7EJ, UK.
- Department of Medical Physics and Biomedical Engineering, University College London, Gower Street, London WC1E 6BT, UK.
| | - Naoto Sato
- Research and Development Division, 1-14-1, Kandasudacho, Chiyoda-ku, Tokyo 101-0041, Japan.
| | - Yusuke Shigeta
- Research and Development Division, 1-14-1, Kandasudacho, Chiyoda-ku, Tokyo 101-0041, Japan.
| | - Toshitaka Agano
- Research and Development Division, 1-14-1, Kandasudacho, Chiyoda-ku, Tokyo 101-0041, Japan.
| | - Sebastian Ourselin
- Wellcome/EPSRC Centre for Interventional and Surgical Sciences, University College London, Charles Bell House, 67-73 Riding House Street, London W1W 7EJ, UK.
- Centre for Medical Imaging Computing, University College London, Gower Street, London WC1E 6BT, UK.
| | - Simeon J West
- Department of Anaesthesia, University College Hospital, Main Theatres, Maple Bridge Link Corridor, Podium 3, 235 Euston Road, London NW1 2BU, UK.
| | - Adrien E Desjardins
- Wellcome/EPSRC Centre for Interventional and Surgical Sciences, University College London, Charles Bell House, 67-73 Riding House Street, London W1W 7EJ, UK.
- Department of Medical Physics and Biomedical Engineering, University College London, Gower Street, London WC1E 6BT, UK.
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20
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Zafar H, Leahy M, Wijns W, Kolios M, Zafar J, Johnson N, Sharif F. Photoacoustic cardiovascular imaging: a new technique for imaging of atherosclerosis and vulnerable plaque detection. Biomed Phys Eng Express 2018. [DOI: 10.1088/2057-1976/aab640] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/30/2022]
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21
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Li M, Lan B, Liu W, Xia J, Yao J. Internal-illumination photoacoustic computed tomography. JOURNAL OF BIOMEDICAL OPTICS 2018; 23:1-4. [PMID: 29573255 DOI: 10.1117/1.jbo.23.3.030506] [Citation(s) in RCA: 12] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/19/2017] [Accepted: 03/05/2018] [Indexed: 05/07/2023]
Abstract
We report a photoacoustic computed tomography (PACT) system using a customized optical fiber with a cylindrical diffuser to internally illuminate deep targets. The traditional external light illumination in PACT usually limits the penetration depth to a few centimeters from the tissue surface, mainly due to strong optical attenuation along the light propagation path from the outside in. By contrast, internal light illumination, with external ultrasound detection, can potentially detect much deeper targets. Different from previous internal illumination PACT implementations using forward-looking optical fibers, our internal-illumination PACT system uses a customized optical fiber with a 3-cm-long conoid needle diffuser attached to the fiber tip, which can homogeneously illuminate the surrounding space and substantially enlarge the field of view. We characterized the internal illumination distribution and PACT system performance. We performed tissue phantom and in vivo animal studies to further demonstrate the superior imaging depth using internal illumination over external illumination. We imaged a 7.5-cm-deep leaf target embedded in optically scattering medium and the beating heart of a mouse overlaid with 3.7-cm-thick chicken tissue. Our results have collectively demonstrated that the internal light illumination combined with external ultrasound detection might be a useful strategy to improve the penetration depth of PACT in imaging deep organs of large animals and humans.
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Affiliation(s)
- Mucong Li
- Duke University, Department of Biomedical Engineering, Durham, North Carolina, United States
| | - Bangxin Lan
- Duke University, Department of Biomedical Engineering, Durham, North Carolina, United States
| | - Wei Liu
- Duke University, Department of Biomedical Engineering, Durham, North Carolina, United States
| | - Jun Xia
- University at Buffalo North Campus, Department of Biomedical Engineering, Buffalo, New York, United States
| | - Junjie Yao
- Duke University, Department of Biomedical Engineering, Durham, North Carolina, United States
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22
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Maneas E, Xia W, Ogunlade O, Fonseca M, Nikitichev DI, David AL, West SJ, Ourselin S, Hebden JC, Vercauteren T, Desjardins AE. Gel wax-based tissue-mimicking phantoms for multispectral photoacoustic imaging. BIOMEDICAL OPTICS EXPRESS 2018; 9. [PMID: 29541509 PMCID: PMC5846519 DOI: 10.1364/boe.9.001151] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/07/2023]
Abstract
Tissue-mimicking phantoms are widely used for the calibration, evaluation and standardisation of medical imaging systems, and for clinical training. For photoacoustic imaging, tissue-mimicking materials (TMMs) that have tuneable optical and acoustic properties, high stability, and mechanical robustness are highly desired. In this study, gel wax is introduced as a TMM that satisfies these criteria for developing photoacoustic imaging phantoms. The reduced scattering and optical absorption coefficients were independently tuned with the addition of TiO2 and oil-based inks. The frequency-dependent acoustic attenuation obeyed a power law; for native gel wax, it varied from 0.71 dB/cm at 3 MHz to 9.93 dB/cm at 12 MHz. The chosen oil-based inks, which have different optical absorption spectra in the range of 400 to 900 nm, were found to have good photostability under pulsed illumination with photoacoustic excitation light. Optically heterogeneous phantoms that comprised of inclusions with different concentrations of carbon black and coloured inks were fabricated, and multispectral photoacoustic imaging was performed with an optical parametric oscillator and a planar Fabry-Pérot sensor. We conclude that gel wax is well suited as a TMM for multispectral photoacoustic imaging.
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Affiliation(s)
- Efthymios Maneas
- Wellcome / EPSRC Centre for Interventional and Surgical Sciences, University College London, Charles Bell House, 67-73 Riding House Street, London W1W 7EJ,
UK
- Department of Medical Physics and Biomedical Engineering, University College London, Gower Street, London WC1E 6BT,
UK
| | - Wenfeng Xia
- Wellcome / EPSRC Centre for Interventional and Surgical Sciences, University College London, Charles Bell House, 67-73 Riding House Street, London W1W 7EJ,
UK
- Department of Medical Physics and Biomedical Engineering, University College London, Gower Street, London WC1E 6BT,
UK
| | - Olumide Ogunlade
- Department of Medical Physics and Biomedical Engineering, University College London, Gower Street, London WC1E 6BT,
UK
| | - Martina Fonseca
- Department of Medical Physics and Biomedical Engineering, University College London, Gower Street, London WC1E 6BT,
UK
| | - Daniil I. Nikitichev
- Wellcome / EPSRC Centre for Interventional and Surgical Sciences, University College London, Charles Bell House, 67-73 Riding House Street, London W1W 7EJ,
UK
- Department of Medical Physics and Biomedical Engineering, University College London, Gower Street, London WC1E 6BT,
UK
- Translational Imaging Group, Centre for Medical Image Computing, Department of Medical Physics and Biomedical Engineering, University College London, Gower Street, London WC1E 6BT,
UK
| | - Anna L. David
- Wellcome / EPSRC Centre for Interventional and Surgical Sciences, University College London, Charles Bell House, 67-73 Riding House Street, London W1W 7EJ,
UK
- Institute for Women’s Health, University College London, 86-96 Chenies Mews, London WC1E 6HX,
UK
- Department of Development and Regeneration, KU Leuven (Katholieke Universiteit),
Belgium
| | - Simeon J. West
- Department of Anaesthesia, University College Hospital, Main Theatres, Maple Bridge Link Corridor, Podium 3, 235 Euston Road, London NW1 2BU,
UK
| | - Sebastien Ourselin
- Wellcome / EPSRC Centre for Interventional and Surgical Sciences, University College London, Charles Bell House, 67-73 Riding House Street, London W1W 7EJ,
UK
- Department of Medical Physics and Biomedical Engineering, University College London, Gower Street, London WC1E 6BT,
UK
- Translational Imaging Group, Centre for Medical Image Computing, Department of Medical Physics and Biomedical Engineering, University College London, Gower Street, London WC1E 6BT,
UK
| | - Jeremy C. Hebden
- Department of Medical Physics and Biomedical Engineering, University College London, Gower Street, London WC1E 6BT,
UK
| | - Tom Vercauteren
- Wellcome / EPSRC Centre for Interventional and Surgical Sciences, University College London, Charles Bell House, 67-73 Riding House Street, London W1W 7EJ,
UK
- Department of Medical Physics and Biomedical Engineering, University College London, Gower Street, London WC1E 6BT,
UK
- Translational Imaging Group, Centre for Medical Image Computing, Department of Medical Physics and Biomedical Engineering, University College London, Gower Street, London WC1E 6BT,
UK
| | - Adrien E. Desjardins
- Wellcome / EPSRC Centre for Interventional and Surgical Sciences, University College London, Charles Bell House, 67-73 Riding House Street, London W1W 7EJ,
UK
- Department of Medical Physics and Biomedical Engineering, University College London, Gower Street, London WC1E 6BT,
UK
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23
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Gandhi N, Allard M, Kim S, Kazanzides P, Lediju Bell MA. Photoacoustic-based approach to surgical guidance performed with and without a da Vinci robot. JOURNAL OF BIOMEDICAL OPTICS 2017; 22:121606. [PMCID: PMC5571435 DOI: 10.1117/1.jbo.22.12.121606] [Citation(s) in RCA: 28] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/25/2017] [Accepted: 07/28/2017] [Indexed: 05/19/2023]
Abstract
Death and paralysis are significant risks of modern surgeries, caused by injury to blood vessels and nerves hidden by bone and other tissue. We propose an approach to surgical guidance that relies on photoacoustic (PA) imaging to determine the separation between these critical anatomical features and to assess the extent of safety zones during surgical procedures. Images were acquired as an optical fiber was swept across vessel-mimicking targets, in the absence and presence of teleoperation with a research da Vinci Surgical System. Vessel separation distances were measured directly from PA images. Vessel positions were additionally recorded based on the fiber position (calculated from the da Vinci robot kinematics) that corresponded to an observed PA signal, and these recordings were used to indirectly measure vessel separation distances. Amplitude- and coherence-based beamforming were used to estimate vessel separations, resulting in 0.52- to 0.56-mm mean absolute errors, 0.66- to 0.71-mm root-mean-square errors, and 65% to 68% more accuracy compared to fiber position measurements obtained through the da Vinci robot kinematics. Similar accuracy was achieved in the presence of up to 4.5-mm-thick ex vivo tissue. Results indicate that PA image-based measurements of the separation among anatomical landmarks could be a viable method for real-time path planning in multiple interventional PA applications.
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Affiliation(s)
- Neeraj Gandhi
- University of Virginia, Department of Electrical and Computer Engineering, Charlottesville, Virginia, United States
| | - Margaret Allard
- Smith College, Department of Physics, Northampton, Massachusetts, United States
| | - Sungmin Kim
- Johns Hopkins University, Department of Computer Science, Maryland, United States
| | - Peter Kazanzides
- Johns Hopkins University, Department of Computer Science, Maryland, United States
| | - Muyinatu A. Lediju Bell
- Johns Hopkins University, Department of Electrical and Computer Engineering, Baltimore, Maryland, United States
- Johns Hopkins University, Department of Biomedical Engineering, Baltimore, Maryland, United States
- Address all correspondence to: Muyinatu A. Lediju Bell, E-mail:
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24
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Xia W, Noimark S, Ourselin S, West SJ, Finlay MC, David AL, Desjardins AE. Ultrasonic Needle Tracking with a Fibre-Optic Ultrasound Transmitter for Guidance of Minimally Invasive Fetal Surgery. MEDICAL IMAGE COMPUTING AND COMPUTER-ASSISTED INTERVENTION : MICCAI ... INTERNATIONAL CONFERENCE ON MEDICAL IMAGE COMPUTING AND COMPUTER-ASSISTED INTERVENTION 2017; 10434:637-645. [PMID: 28948240 DOI: 10.1007/978-3-319-66185-8_72] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/12/2022]
Abstract
Ultrasound imaging is widely used for guiding minimally invasive procedures, including fetal surgery. Visualisation of medical devices such as medical needles is critically important and it remains challenging in many clinical contexts. During in-plane insertions, a needle can have poor visibility at steep insertion angles and at large insertion depths. During out-of-plane insertions, the needle tip can have a similar ultrasonic appearance to the needle shaft when it intersects with the ultrasound imaging plane. When the needle tip is not accurately identified, it can damage critical structures, with potentially severe consequences, including loss of pregnancy. In this paper, we present a tracking system to directly visualise the needle tip with an ultrasonic beacon. The waves transmitted by the beacon were received by an external ultrasound imaging probe. Pairs of co-registered images were acquired in rapid succession with this probe: a photoacoustic image obtained with the system in receive-only mode, and a conventional B-mode ultrasound image. The beacon comprised a custom elastomeric nanocomposite coating at the distal end of an optical fibre, which was positioned within the lumen of a commercial 22 gauge needle. Delivery of pulsed light to the coating resulted in the photoacoustic generation of ultrasonic waves. The measured tracking accuracies in water in the axial and lateral dimensions were 0.39±0.19 mm and 1.85±0.29 mm, respectively. To obtain a preliminary indication of the clinical potential of this ultrasonic needle tracking system, needle insertions were performed in an in vivo fetal sheep model. The results demonstrate that ultrasonic needle tracking with a fibre-optic transmitter is feasible in a clinically realistic fetal surgery environment, and that it could be useful to guide minimally invasive procedures by providing accurate visualisation of the medical device tip.
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Affiliation(s)
- Wenfeng Xia
- Department of Medical Physics and Biomedical Engineering, University College London, Gower Street, London WC1E 6BT, UK
| | - Sacha Noimark
- Department of Medical Physics and Biomedical Engineering, University College London, Gower Street, London WC1E 6BT, UK.,Materials Chemistry Research Centre, Department of Chemistry, University College London, 20 Gordon Street, London WC1H 0AJ, UK
| | - Sebastien Ourselin
- Department of Medical Physics and Biomedical Engineering, University College London, Gower Street, London WC1E 6BT, UK
| | - Simeon J West
- Department of Anaesthesia, University College Hospital, 235 Euston Road, London NW1 2BU, UK
| | - Malcolm C Finlay
- Department of Medical Physics and Biomedical Engineering, University College London, Gower Street, London WC1E 6BT, UK.,St Bartholomew's Hospital and Queen Mary University of London, Charterhouse Square, London EC1M 6BQ, UK
| | - Anna L David
- Institute for Women's Health, University College London, 86-96 Chenies Mews, London WC1E 6HX, UK
| | - Adrien E Desjardins
- Department of Medical Physics and Biomedical Engineering, University College London, Gower Street, London WC1E 6BT, UK
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Mitcham T, Taghavi H, Long J, Wood C, Fuentes D, Stefan W, Ward J, Bouchard R. Photoacoustic-based sO 2 estimation through excised bovine prostate tissue with interstitial light delivery. PHOTOACOUSTICS 2017; 7:47-56. [PMID: 28794990 PMCID: PMC5540703 DOI: 10.1016/j.pacs.2017.06.004] [Citation(s) in RCA: 17] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/21/2017] [Revised: 06/21/2017] [Accepted: 06/27/2017] [Indexed: 05/08/2023]
Abstract
Photoacoustic (PA) imaging is capable of probing blood oxygen saturation (sO2), which has been shown to correlate with tissue hypoxia, a promising cancer biomarker. However, wavelength-dependent local fluence changes can compromise sO2 estimation accuracy in tissue. This work investigates using PA imaging with interstitial irradiation and local fluence correction to assess precision and accuracy of sO2 estimation of blood samples through ex vivo bovine prostate tissue ranging from 14% to 100% sO2. Study results for bovine blood samples at distances up to 20 mm from the irradiation source show that local fluence correction improved average sO2 estimation error from 16.8% to 3.2% and maintained an average precision of 2.3% when compared to matched CO-oximeter sO2 measurements. This work demonstrates the potential for future clinical translation of using fluence-corrected and interstitially driven PA imaging to accurately and precisely assess sO2 at depth in tissue with high resolution.
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Affiliation(s)
- Trevor Mitcham
- Department of Imaging Physics, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA
- The University of Texas MD Anderson Cancer Center, UTHealth Graduate School of Biomedical Sciences, Houston, TX 77030, USA
| | - Houra Taghavi
- Department of Imaging Physics, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA
| | - James Long
- Department of Imaging Physics, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA
| | - Cayla Wood
- Department of Imaging Physics, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA
- The University of Texas MD Anderson Cancer Center, UTHealth Graduate School of Biomedical Sciences, Houston, TX 77030, USA
| | - David Fuentes
- Department of Imaging Physics, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA
- The University of Texas MD Anderson Cancer Center, UTHealth Graduate School of Biomedical Sciences, Houston, TX 77030, USA
| | - Wolfgang Stefan
- Department of Imaging Physics, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA
| | - John Ward
- Department of Urology, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA
| | - Richard Bouchard
- Department of Imaging Physics, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA
- The University of Texas MD Anderson Cancer Center, UTHealth Graduate School of Biomedical Sciences, Houston, TX 77030, USA
- Corresponding author at: Department of Imaging Physics, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA.
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Abstract
Ultrasound is well suited for guiding many minimally invasive procedures, but its use is often precluded by the poor visibility of medical devices. When devices are not visible, they can damage critical structures, with life-threatening complications. Here, we developed the first ultrasound probe that comprises both focused and unfocused transducer elements to provide both 2D B-mode ultrasound imaging and 3D ultrasonic needle tracking. A fibre-optic hydrophone was integrated into a needle to receive Golay-coded transmissions from the probe and these data were processed to obtain tracking images of the needle tip. The measured tracking accuracy in water was better than 0.4 mm in all dimensions. To demonstrate the clinical potential of this system, insertions were performed into the spine and the uterine cavity, in swine and pregnant ovine models in vivo. In both models, the SNR ranged from 13 to 38 at depths of 22 to 38 mm, at out-of-plane distances of 1 to 15 mm, and at insertion angles of 33 to 42 degrees relative to the probe surface normal. This novel ultrasound imaging/tracking probe has strong potential to improve procedural outcomes by providing 3D needle tip locations that are co-registered to ultrasound images, while maintaining compatibility with current clinical workflow.
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Eddins B, Bell MAL. Design of a multifiber light delivery system for photoacoustic-guided surgery. JOURNAL OF BIOMEDICAL OPTICS 2017; 22:41011. [PMID: 28114443 PMCID: PMC5995140 DOI: 10.1117/1.jbo.22.4.041011] [Citation(s) in RCA: 24] [Impact Index Per Article: 3.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/01/2016] [Accepted: 12/15/2016] [Indexed: 05/20/2023]
Abstract
This work explores light delivery optimization for photoacoustic-guided minimally invasive surgeries, such as the endonasal transsphenoidal approach. Monte Carlo simulations were employed to study three-dimensional light propagation in tissue, comprising one or two 4-mm diameter arteries located 3 mm below bone, an absorbing metallic drill contacting the bone surface, and a single light source placed next to the 2.4-mm diameter drill shaft with a 2.9-mm diameter spherical drill tip. The optimal fiber distance from the drill shaft was determined from the maximum normalized fluence to the underlying artery. Using this optimal fiber-to-drill shaft distance, Zemax simulations were employed to propagate Gaussian beams through one or more 600 micron-core diameter optical fibers for detection on the bone surface. When the number of equally spaced fibers surrounding the drill increased, a single merged optical profile formed with seven or more fibers, determined by thresholding the resulting light profile images at 1 / e times the maximum intensity. We used these simulations to inform design requirements, build a one to seven multifiber light delivery prototype to surround a surgical drill, and demonstrate its ability to simultaneously visualize the tool tip and blood vessel targets in the absence and presence of bone. The results and methodology are generalizable to multiple interventional photoacoustic applications.
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Affiliation(s)
- Blackberrie Eddins
- Johns Hopkins University, Department of Biomedical Engineering, Baltimore, Maryland 21218, United States
| | - Muyinatu A. Lediju Bell
- Johns Hopkins University, Department of Biomedical Engineering, Baltimore, Maryland 21218, United States
- Johns Hopkins University, Department of Electrical and Computer Engineering, Baltimore, Maryland 21218, United States
- Address all correspondence to: Muyinatu A. Lediju Bell, E-mail:
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Hill ER, Xia W, Clarkson MJ, Desjardins AE. Identification and removal of laser-induced noise in photoacoustic imaging using singular value decomposition. BIOMEDICAL OPTICS EXPRESS 2017; 8:68-77. [PMID: 28101402 PMCID: PMC5231316 DOI: 10.1364/boe.8.000068] [Citation(s) in RCA: 19] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/07/2016] [Revised: 10/28/2016] [Accepted: 11/11/2016] [Indexed: 05/20/2023]
Abstract
Singular value decomposition (SVD) was used to identify and remove laser-induced noise in photoacoustic images acquired with a clinical ultrasound scanner. This noise, which was prominent in the radiofrequency data acquired in parallel from multiple transducer elements, was induced by the excitation light source. It was modelled by truncating the SVD matrices so that only the first few largest singular value components were retained, and subtracted prior to image reconstruction. The dependency of the signal amplitude and the number of the largest singular value components used for noise modeling was investigated for different photoacoustic source geometries. Validation was performed with simulated data and measured noise, and with photoacoustic images acquired from the human forearm and finger in vivo using L14-5/38 and L40-8/12 linear array clinical imaging probes. The use of only one singular value component was found to be sufficient to achieve near-complete removal of laser-induced noise from reconstructed images. This method has strong potential to increase image quality for a wide range of photoacoustic imaging systems with parallel data acquisition.
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Affiliation(s)
- Emma R. Hill
- Department of Medical Physics and Biomedical Engineering, University College London, Gower Street, London, WC1E 6BT, UK
- Equal contribution
| | - Wenfeng Xia
- Department of Medical Physics and Biomedical Engineering, University College London, Gower Street, London, WC1E 6BT, UK
- Equal contribution
| | - Matthew J. Clarkson
- Translational Imaging Group (TIG), Centre for Medical Image Computing (CMIC), Dept. of Medical Physics and Biomedical Engineering, University College London, Gower Street, London, WC1E 6BT, UK
| | - Adrien E. Desjardins
- Department of Medical Physics and Biomedical Engineering, University College London, Gower Street, London, WC1E 6BT, UK
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Attia ABE, Ho CJH, Chandrasekharan P, Balasundaram G, Tay HC, Burton NC, Chuang KH, Ntziachristos V, Olivo M. Multispectral optoacoustic and MRI coregistration for molecular imaging of orthotopic model of human glioblastoma. JOURNAL OF BIOPHOTONICS 2016; 9:701-8. [PMID: 27091626 DOI: 10.1002/jbio.201500321] [Citation(s) in RCA: 19] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/07/2015] [Revised: 03/29/2016] [Accepted: 03/29/2016] [Indexed: 05/24/2023]
Abstract
Multi-modality imaging methods are of great importance in oncologic studies for acquiring complementary information, enhancing the efficacy in tumor detection and characterization. We hereby demonstrate a hybrid non-invasive in vivo imaging approach of utilizing magnetic resonance imaging (MRI) and Multispectral Optoacoustic Tomography (MSOT) for molecular imaging of glucose uptake in an orthotopic glioblastoma in mouse. The molecular and functional information from MSOT can be overlaid on MRI anatomy via image coregistration to provide insights into probe uptake in the brain, which is verified by ex vivo fluorescence imaging and histological validation. In vivo MSOT and MRI imaging of an orthotopic glioma mouse model injected with IRDye800-2DG. Image coregistration between MSOT and MRI enables multifaceted (anatomical, functional, molecular) information from MSOT to be overlaid on MRI anatomy images to derive tumor physiological parameters such as perfusion, haemoglobin and oxygenation.
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Affiliation(s)
| | - Chris Jun Hui Ho
- Singapore Bioimaging Consortium, 11 Biopolis Way, Helios #01-02, Singapore, 138667
| | | | | | - Hui Chien Tay
- Singapore Bioimaging Consortium, 11 Biopolis Way, Helios #01-02, Singapore, 138667
| | | | - Kai-Hsiang Chuang
- Queensland Brain Institute, University of Queensland, Brisbane, 4072, Australia.
| | - Vasilis Ntziachristos
- Institute for Biological and Medical Imaging, Technische Universität München and Helmholtz Zentrum München, Neuherberg, Germany
| | - Malini Olivo
- Singapore Bioimaging Consortium, 11 Biopolis Way, Helios #01-02, Singapore, 138667.
- School of Physics, National University of Ireland, Galway, Ireland.
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From computer-assisted intervention research to clinical impact: The need for a holistic approach. Med Image Anal 2016; 33:72-78. [PMID: 27425646 DOI: 10.1016/j.media.2016.06.018] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/29/2016] [Revised: 06/09/2016] [Accepted: 06/13/2016] [Indexed: 01/11/2023]
Abstract
The early days of the field of medical image computing (MIC) and computer-assisted intervention (CAI), when publishing a strong self-contained methodological algorithm was enough to produce impact, are over. As a community, we now have substantial responsibility to translate our scientific progresses into improved patient care. In the field of computer-assisted interventions, the emphasis is also shifting from the mere use of well-known established imaging modalities and position trackers to the design and combination of innovative sensing, elaborate computational models and fine-grained clinical workflow analysis to create devices with unprecedented capabilities. The barriers to translating such devices in the complex and understandably heavily regulated surgical and interventional environment can seem daunting. Whether we leave the translation task mostly to our industrial partners or welcome, as researchers, an important share of it is up to us. We argue that embracing the complexity of surgical and interventional sciences is mandatory to the evolution of the field. Being able to do so requires large-scale infrastructure and a critical mass of expertise that very few research centres have. In this paper, we emphasise the need for a holistic approach to computer-assisted interventions where clinical, scientific, engineering and regulatory expertise are combined as a means of moving towards clinical impact. To ensure that the breadth of infrastructure and expertise required for translational computer-assisted intervention research does not lead to a situation where the field advances only thanks to a handful of exceptionally large research centres, we also advocate that solutions need to be designed to lower the barriers to entry. Inspired by fields such as particle physics and astronomy, we claim that centralised very large innovation centres with state of the art technology and health technology assessment capabilities backed by core support staff and open interoperability standards need to be accessible to the wider computer-assisted intervention research community.
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Hadjerci O, Hafiane A, Conte D, Makris P, Vieyres P, Delbos A. Computer-aided detection system for nerve identification using ultrasound images: A comparative study. INFORMATICS IN MEDICINE UNLOCKED 2016. [DOI: 10.1016/j.imu.2016.06.003] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/21/2022] Open
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