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Manwar R, Kratkiewicz K, Mahmoodkalayeh S, Hariri A, Papadelis C, Hansen A, Pillers DAM, Gelovani J, Avanaki K. Development and characterization of transfontanelle photoacoustic imaging system for detection of intracranial hemorrhages and measurement of brain oxygenation: Ex-vivo. PHOTOACOUSTICS 2023; 32:100538. [PMID: 37575972 PMCID: PMC10413353 DOI: 10.1016/j.pacs.2023.100538] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 10/28/2022] [Revised: 06/28/2023] [Accepted: 07/19/2023] [Indexed: 08/15/2023]
Abstract
We have developed and optimized an imaging system to study and improve the detection of brain hemorrhage and to quantify oxygenation. Since this system is intended to be used for brain imaging in neonates through the skull opening, i.e., fontanelle, we called it, Transfontanelle Photoacoustic Imaging (TFPAI) system. The system is optimized in terms of optical and acoustic designs, thermal safety, and mechanical stability. The lower limit of quantification of TFPAI to detect the location of hemorrhage and its size is evaluated using in-vitro and ex-vivo experiments. The capability of TFPAI in measuring the tissue oxygenation and detection of vasogenic edema due to brain blood barrier disruption are demonstrated. The results obtained from our experimental evaluations strongly suggest the potential utility of TFPAI, as a portable imaging modality in the neonatal intensive care unit. Confirmation of these findings in-vivo could facilitate the translation of this promising technology to the clinic.
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Affiliation(s)
- Rayyan Manwar
- University of Illinois at Chicago, Department of Biomedical Engineering, Chicago, IL, United States
| | - Karl Kratkiewicz
- Barbara Ann Karmanos Cancer Institute, Detroit, MI, United States
| | | | - Ali Hariri
- Department of Nanoengineering, University of California, San Diego, CA, United States
| | - Christos Papadelis
- Jane and John Justin Neurosciences Center, Cook Children’s Health Care System, Fort Worth, TX, United States
- Department of Bioengineering, University of Texas at Arlington, Arlington, TX, United States
| | - Anne Hansen
- Department of Medicine, Boston Children’s Hospital, Harvard Medical School, Boston, MA, United States
| | - De-Ann M. Pillers
- Department of Pediatrics, UI Health Children’s Hospital of the University of Illinois at Chicago, Chicago, IL, United States
| | - Juri Gelovani
- College of Medicine and Health Sciences, United Arab Emirates University, Al Ain, Abu Dhabi, UAE
- Department of Biomedical Engineering, College of Engineering and School of Medicine, Wayne State University, Detroit, MI 48201, United States
- Dept. Radiology, Siriraj Hospital, Mahidol University, Bangkok 10700, Thailand
| | - Kamran Avanaki
- University of Illinois at Chicago, Department of Biomedical Engineering, Chicago, IL, United States
- Department of Pediatrics, UI Health Children’s Hospital of the University of Illinois at Chicago, Chicago, IL, United States
- Department of Dermatology, University of Illinois at Chicago, Chicago, IL, United States
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2
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Manwar R, Islam MT, Shoo A, Pillers DA, Avanaki K. Development of ex vivo brain hemorrhage phantom for photoacoustic imaging. JOURNAL OF BIOPHOTONICS 2023; 16:e202200313. [PMID: 37052299 DOI: 10.1002/jbio.202200313] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/14/2022] [Revised: 03/29/2023] [Accepted: 03/29/2023] [Indexed: 06/19/2023]
Abstract
Brain hemorrhage, specifically intraventricular hemorrhage (IVH), is considered one of the primary and leading causes of cerebral anomalies in neonates. Several imaging modalities including the most popular, cranial ultrasound, are not capable of detecting early stage IVHs. Photoacoustic imaging (PAI) exhibited great potential for detecting cerebral hemorrhage in studies limited to small animal models, but these models are not comparable to neonatal brain morphology. However, hemorrhage detection in large animal models using PAI is rare due to the complexity and cost of inducing hemorrhage in vivo. Moreover, in vitro studies are unable to represent the physiology and environment of the hemorrhagic lesion. Here, we proposed a pseudo hemorrhage implementation method in the sheep brain that allows us to mimic different hemorrhagic lesions ex vivo without compromising the complexity of cerebral imaging. This approach enables a true evaluation of PAI performance for detecting hemorrhages and can be utilized as a reference to optimize the PAI system for in vivo imaging.
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Affiliation(s)
- Rayyan Manwar
- The Richard and Loan Hill Department of Biomedical Engineering, University of Illinois at Chicago, Chicago, Illinois, USA
| | - Md Tarikul Islam
- The Richard and Loan Hill Department of Biomedical Engineering, University of Illinois at Chicago, Chicago, Illinois, USA
| | - Anthony Shoo
- Department of Pediatrics, UIHealth Children's Hospital of the University of Illinois at Chicago, Chicago, Illinois, USA
| | - De-Ann Pillers
- Department of Pediatrics, UIHealth Children's Hospital of the University of Illinois at Chicago, Chicago, Illinois, USA
| | - Kamran Avanaki
- The Richard and Loan Hill Department of Biomedical Engineering, University of Illinois at Chicago, Chicago, Illinois, USA
- Department of Dermatology and Pediatric, University of Illinois at Chicago, Chicago, Illinois, USA
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3
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Song H, Kang J, Boctor EM. Synthetic radial aperture focusing to regulate manual volumetric scanning for economic transrectal ultrasound imaging. ULTRASONICS 2023; 129:106908. [PMID: 36527822 PMCID: PMC10043828 DOI: 10.1016/j.ultras.2022.106908] [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: 06/30/2022] [Revised: 10/18/2022] [Accepted: 11/27/2022] [Indexed: 06/17/2023]
Abstract
In this paper, we present a volumetric transrectal ultrasound (TRUS) imaging under the presence of radial scanning angle disorientation (SAD) in a resource-limited diagnostic setting. Herein, we test our hypothesis that a synthetic radial aperture focusing (TRUS-rSAF) technique, in which a radial plane in target volume is reconstructed by coherent compounding of multiple transmittance/reception events, will reject a randomized SAD in a free-hand scanning setup based on external angular tracking. Based on an analytical model of the TRUS-rSAF technique, we first tested specific scenarios using a clinically available TRUS transducer under different SADs in a range of normal distributions (σ = 0.1°, 0.2°, 0.5°, 1°, 2°, and 5°). We found a benefit of the TRUS-rSAF technique for higher robustness when the SAD is contained within the radial synthetic aperture window, i.e., ±0.71° from a target scanning angle. However, no enhancement was found in spatial resolution because of the limited transmit beam field of the clinical TRUS transducer, limiting the synthetic aperture window. We further evaluated the TRUS-rSAF technique with a modified TRUS transducer for an extended synthetic aperture window to test whether higher spatial resolution and robustness to SAD can be obtained in the same evaluation setup. Widening of the synthetic aperture window (±3.54°, ± 5.91°, ± 8.27°, ± 10.63°, ± 12.99°, ± 15.35°) resulted in proportional enhancements of spatial resolution, but it also progressively built up sidelobe artifacts due to randomized synthesis with limited phase cancellations. The results suggest the need for careful calibration of the TRUS-rSAF technique to enable TRUS imaging with free-hand radial scanning and external angle tracking in resource-limited settings.
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Affiliation(s)
- Hyunwoo Song
- Department of Computer Science, Whiting School of Engineering, the Johns Hopkins University, Baltimore, MD 21218, USA
| | - Jeeun Kang
- Laboratory for Computational Sensing and Robotics, Whiting School of Engineering, the Johns Hopkins University, Baltimore, MD 21218, USA.
| | - Emad M Boctor
- Department of Computer Science, Whiting School of Engineering, the Johns Hopkins University, Baltimore, MD 21218, USA; Laboratory for Computational Sensing and Robotics, Whiting School of Engineering, the Johns Hopkins University, Baltimore, MD 21218, USA.
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4
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Menozzi L, Yang W, Feng W, Yao J. Sound out the impaired perfusion: Photoacoustic imaging in preclinical ischemic stroke. Front Neurosci 2022; 16:1055552. [PMID: 36532279 PMCID: PMC9751426 DOI: 10.3389/fnins.2022.1055552] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/27/2022] [Accepted: 11/17/2022] [Indexed: 09/19/2023] Open
Abstract
Acoustically detecting the optical absorption contrast, photoacoustic imaging (PAI) is a highly versatile imaging modality that can provide anatomical, functional, molecular, and metabolic information of biological tissues. PAI is highly scalable and can probe the same biological process at various length scales ranging from single cells (microscopic) to the whole organ (macroscopic). Using hemoglobin as the endogenous contrast, PAI is capable of label-free imaging of blood vessels in the brain and mapping hemodynamic functions such as blood oxygenation and blood flow. These imaging merits make PAI a great tool for studying ischemic stroke, particularly for probing into hemodynamic changes and impaired cerebral blood perfusion as a consequence of stroke. In this narrative review, we aim to summarize the scientific progresses in the past decade by using PAI to monitor cerebral blood vessel impairment and restoration after ischemic stroke, mostly in the preclinical setting. We also outline and discuss the major technological barriers and challenges that need to be overcome so that PAI can play a more significant role in preclinical stroke research, and more importantly, accelerate its translation to be a useful clinical diagnosis and management tool for human strokes.
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Affiliation(s)
- Luca Menozzi
- Department of Biomedical Engineering, Duke University, Durham, NC, United States
| | - Wei Yang
- Multidisciplinary Brain Protection Program, Department of Anesthesiology, Duke University, Durham, NC, United States
| | - Wuwei Feng
- Department of Neurology, Duke University School of Medicine, Durham, NC, United States
| | - Junjie Yao
- Department of Biomedical Engineering, Duke University, Durham, NC, United States
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Liu S, Zhang R, Han T, Pan Y, Zhang G, Long X, Zhao C, Wang M, Li X, Yang F, Sang Y, Zhu L, He X, Li J, Zhang Y, Li C, Jiang Y, Yang M. Validation of photoacoustic/ultrasound dual imaging in evaluating blood oxygen saturation. BIOMEDICAL OPTICS EXPRESS 2022; 13:5551-5570. [PMID: 36425613 PMCID: PMC9664893 DOI: 10.1364/boe.469747] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/07/2022] [Revised: 09/16/2022] [Accepted: 09/16/2022] [Indexed: 06/16/2023]
Abstract
Photoacoustic imaging (PAI) was performed to evaluate oxygen saturation (sO2) of blood-mimicking phantoms, femoral arteries in beagles, and radial arteries in humans at various sO2 plateaus. The accuracy (root mean square error, RMSE) of PAI sO2 compared with reference sO2 was calculated. In blood-mimicking phantoms, PAI achieved an accuracy of 1.49% and a mean absolute error (MAE) of 1.09% within 25 mm depth, and good linearity (R = 0.968; p < 0.001) was obtained between PAI sO2 and reference sO2. In canine femoral arteries, PAI achieved an accuracy of 2.16% and an MAE of 1.58% within 8 mm depth (R = 0.965; p < 0.001). In human radial arteries, PAI achieved an accuracy of 3.97% and an MAE of 3.28% in depth from 4 to 14 mm (R = 0.892; p < 0.001). For PAI sO2 evaluation at different depths in healthy volunteers, the RMSE accuracy of PAI sO2 increased from 2.66% to 24.96% with depth increasing from 4 to 14 mm. Through the multiscale method, we confirmed the feasibility of the hand-held photoacoustic/ultrasound (PA/US) in evaluating sO2. These results demonstrate the potential clinical value of PAI in evaluating blood sO2. Consequently, protocols for verifying the feasibility of medical devices based on PAI may be established.
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Affiliation(s)
- Sirui Liu
- Department of Ultrasound, State Key Laboratory of Complex Severe and Rare Diseases, Peking Union Medical College Hospital, Chinese Academy of Medical Science and Peking Union Medical College, Beijing, China
- The authors contributed equally to this manuscript
| | - Rui Zhang
- Department of Ultrasound, State Key Laboratory of Complex Severe and Rare Diseases, Peking Union Medical College Hospital, Chinese Academy of Medical Science and Peking Union Medical College, Beijing, China
- The authors contributed equally to this manuscript
| | - Tao Han
- Department of Biomedical Engineering, College of Engineering, Peking University, Beijing, China
| | - Yinhao Pan
- Mindray Bio-Medical Electronics Co., Ltd., Shenzhen, China
| | - Guangjie Zhang
- Department of Biomedical Engineering, College of Engineering, Peking University, Beijing, China
| | - Xing Long
- Department of Biomedical Engineering, College of Engineering, Peking University, Beijing, China
| | - Chenyang Zhao
- Department of Ultrasound, State Key Laboratory of Complex Severe and Rare Diseases, Peking Union Medical College Hospital, Chinese Academy of Medical Science and Peking Union Medical College, Beijing, China
| | - Ming Wang
- Department of Ultrasound, State Key Laboratory of Complex Severe and Rare Diseases, Peking Union Medical College Hospital, Chinese Academy of Medical Science and Peking Union Medical College, Beijing, China
| | - Xuelan Li
- Department of Ultrasound, State Key Laboratory of Complex Severe and Rare Diseases, Peking Union Medical College Hospital, Chinese Academy of Medical Science and Peking Union Medical College, Beijing, China
| | - Fang Yang
- Mindray Bio-Medical Electronics Co., Ltd., Shenzhen, China
| | - Yuchao Sang
- Mindray Bio-Medical Electronics Co., Ltd., Shenzhen, China
| | - Lei Zhu
- Mindray Bio-Medical Electronics Co., Ltd., Shenzhen, China
| | - Xujin He
- Mindray Bio-Medical Electronics Co., Ltd., Shenzhen, China
| | - Jianchu Li
- Department of Ultrasound, State Key Laboratory of Complex Severe and Rare Diseases, Peking Union Medical College Hospital, Chinese Academy of Medical Science and Peking Union Medical College, Beijing, China
| | - Yewei Zhang
- Hepatopancreatobiliary Center, The Second Affiliated Hospital of Nanjing Medical University, Nanjing, China
| | - Changhui Li
- Department of Biomedical Engineering, College of Engineering, Peking University, Beijing, China
| | - Yuxin Jiang
- Department of Ultrasound, State Key Laboratory of Complex Severe and Rare Diseases, Peking Union Medical College Hospital, Chinese Academy of Medical Science and Peking Union Medical College, Beijing, China
| | - Meng Yang
- Department of Ultrasound, State Key Laboratory of Complex Severe and Rare Diseases, Peking Union Medical College Hospital, Chinese Academy of Medical Science and Peking Union Medical College, Beijing, China
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6
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Transfontanelle photoacoustic imaging for in-vivo cerebral oxygenation measurement. Sci Rep 2022; 12:15394. [PMID: 36100615 PMCID: PMC9470703 DOI: 10.1038/s41598-022-19350-x] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/24/2022] [Accepted: 08/29/2022] [Indexed: 11/25/2022] Open
Abstract
The capability of photoacoustic (PA) imaging to measure oxygen saturation through a fontanelle has been demonstrated in large animals in-vivo. We called this method, transfontanelle photoacoustic imaging (TFPAI). A surgically induced 2.5 cm diameter cranial window was created in an adult sheep skull to model the human anterior fontanelle. The performance of the TFPAI has been evaluated by comparing the PA-based predicted results against the gold standard of blood gas analyzer measurements.
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7
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Wu Y, Kang J, Lesniak WG, Lisok A, Zhang HK, Taylor RH, Pomper MG, Boctor EM. System-level optimization in spectroscopic photoacoustic imaging of prostate cancer. PHOTOACOUSTICS 2022; 27:100378. [PMID: 36068804 PMCID: PMC9441267 DOI: 10.1016/j.pacs.2022.100378] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/29/2021] [Revised: 02/17/2022] [Accepted: 06/06/2022] [Indexed: 05/25/2023]
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8
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Multiparametric monitoring of early pathophysiological changes in a porcine model of sequential focal and global cerebral ischemia. World Neurosurg 2022; 161:e473-e481. [DOI: 10.1016/j.wneu.2022.02.039] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/08/2022] [Accepted: 02/10/2022] [Indexed: 11/23/2022]
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9
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Kang J, Liu X, Cao S, Zeiler SR, Graham EM, Boctor EM, Koehler RC. Transcranial photoacoustic characterization of neurovascular physiology during early-stage photothrombotic stroke in neonatal piglets in vivo. J Neural Eng 2022; 18:10.1088/1741-2552/ac4596. [PMID: 34937013 PMCID: PMC9112348 DOI: 10.1088/1741-2552/ac4596] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/02/2021] [Accepted: 12/22/2021] [Indexed: 01/07/2023]
Abstract
OBJECTIVE Perinatal ischemic stroke is estimated to occur in 1/2300-1/5000 live births, but early differential diagnosis from global hypoxia-ischemia is often difficult. In this study, we tested the ability of a hand-held transcranial photoacoustic (PA) imaging probe to non-invasively detect a focal photothrombotic stroke (PTS) within 2 h of stroke onset in a gyrencephalic piglet brain. APPROACH About 17 stroke lesions of approximately 1 cm2area were introduced randomly in anterior or posterior cortex via the light/dye PTS technique in anesthetized neonatal piglets (n= 11). The contralateral non-ischemic region served as control tissue for discrimination contrast for the PA hemoglobin metrics: oxygen saturation, total hemoglobin (tHb), and individual quantities of oxygenated and deoxygenated hemoglobin (HbO2and HbR). MAIN RESULTS The PA-derived tissue oxygen saturation at 2 h yielded a significant separation between control and affected regions-of-interest (p< 0.0001), which were well matched with 24 h post-stroke cerebral infarction confirmed in the triphenyltetrazolium chloride-stained image. The quantity of HbO2also displayed a significant contrast (p= 0.021), whereas tHb and HbR did not. The analysis on receiver operating characteristic curves and multivariate data analysis also agreed with the results above. SIGNIFICANCE This study shows that a hand-held transcranial PA neuroimaging device can detect a regional thrombotic stroke in the cerebral cortex of a neonatal piglet. In particular, we conclude that the oxygen saturation metric can be used alone to identify regional stroke lesions. The lack of change in tHb may be related to arbitrary hand-held imaging configuration and/or entrapment of red blood cells within the thrombotic stroke.
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Affiliation(s)
- Jeeun Kang
- Laboratory for Computational Sensing and Robotics, Whiting School of Engineering, Johns Hopkins University, Baltimore, MD, 21218, United States of America,These authors equally contributed
| | - Xiuyun Liu
- Department of Anesthesiology and Critical Care Medicine, Johns Hopkins University School of Medicine, Baltimore, MD, 21287, United States of America,These authors equally contributed
| | - Suyi Cao
- Department of Anesthesiology and Critical Care Medicine, Johns Hopkins University School of Medicine, Baltimore, MD, 21287, United States of America
| | - Steven R Zeiler
- Department of Neurology, Johns Hopkins University School of Medicine, Baltimore, MD, 21205, United States of America
| | - Ernest M Graham
- Division of Maternal-Fetal Medicine, Department of Gynecology-Obstetrics, Johns Hopkins University School of Medicine, Baltimore, MD 21205, United States of America,Neuroscience Intensive Care Nursery Program, Johns Hopkins University School of Medicine, Baltimore, MD 21205, United States of America
| | - Emad M Boctor
- Laboratory for Computational Sensing and Robotics, Whiting School of Engineering, Johns Hopkins University, Baltimore, MD, 21218, United States of America,Authors to whom any correspondence should be addressed. and
| | - Raymond C Koehler
- Department of Anesthesiology and Critical Care Medicine, Johns Hopkins University School of Medicine, Baltimore, MD, 21287, United States of America,Authors to whom any correspondence should be addressed. and
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Kang J, Koehler RC, Graham EM, Boctor EM. Photoacoustic assessment of the fetal brain and placenta as a method of non-invasive antepartum and intrapartum monitoring. Exp Neurol 2022; 347:113898. [PMID: 34662542 PMCID: PMC8756814 DOI: 10.1016/j.expneurol.2021.113898] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/19/2021] [Revised: 10/06/2021] [Accepted: 10/12/2021] [Indexed: 11/21/2022]
Abstract
A noninvasive monitor for concurrent evaluation of placental and fetal sagittal sinus sO 2 for both antepartum surveillance at the late 2nd and 3rd trimesters and intrapartum monitoring would be a great advantage over current methods. A PA fetal brain and placental monitor has potential value to rapidly identify the fetus at risk for developing hypoxia and ischemia of a sufficient degree that brain injury or death may develop, which may be prevented by intervention with delivery and other follow-up treatments.
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Affiliation(s)
- Jeeun Kang
- Laboratory for Computational Sensing and Robotics, Whiting School of Engineering, Johns Hopkins University School of Medicine, Baltimore, MD, United States of America; Department of Radiology and Radiological Science, Johns Hopkins University School of Medicine, Baltimore, MD, United States of America
| | - Raymond C Koehler
- Department of Anesthesia and Critical Care Medicine, Johns Hopkins University School of Medicine, Baltimore, MD, United States of America
| | - Ernest M Graham
- Department of Gyn-Ob, Division of Maternal-Fetal Medicine, Johns Hopkins University School of Medicine, Baltimore, MD, United States of America; Neuroscience Intensive Care Nursery Program, Johns Hopkins University School of Medicine; Baltimore, MD, United States of America.
| | - Emad M Boctor
- Laboratory for Computational Sensing and Robotics, Whiting School of Engineering, Johns Hopkins University School of Medicine, Baltimore, MD, United States of America; Department of Radiology and Radiological Science, Johns Hopkins University School of Medicine, Baltimore, MD, United States of America
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11
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Pak RW, Kang J, Boctor E, Kang JU. Optimization of Near-Infrared Fluorescence Voltage-Sensitive Dye Imaging for Neuronal Activity Monitoring in the Rodent Brain. Front Neurosci 2021; 15:742405. [PMID: 34776848 PMCID: PMC8582490 DOI: 10.3389/fnins.2021.742405] [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: 07/16/2021] [Accepted: 10/05/2021] [Indexed: 11/13/2022] Open
Abstract
Many currently employed clinical brain functional imaging technologies rely on indirect measures of activity such as hemodynamics resulting in low temporal and spatial resolutions. To improve upon this, optical systems were developed in conjunction with methods to deliver near-IR voltage-sensitive dye (VSD) to provide activity-dependent optical contrast to establish a clinical tool to facilitate direct monitoring of neuron depolarization through the intact skull. Following the previously developed VSD delivery protocol through the blood-brain barrier, IR-780 perchlorate VSD concentrations in the brain were varied and stimulus-evoked responses were observed. In this paper, a range of optimal VSD tissue concentrations was established that maximized fluorescence fractional change for detection of membrane potential responses to external stimuli through a series of phantom, in vitro, ex vivo, and in vivo experiments in mouse models.
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Affiliation(s)
- Rebecca W Pak
- Department of Biomedical Engineering, Johns Hopkins University, Baltimore, MD, United States
| | - Jeeun Kang
- Department of Radiology and Radiological Science, Johns Hopkins University, Baltimore, MD, United States
| | - Emad Boctor
- Department of Radiology and Radiological Science, Johns Hopkins University, Baltimore, MD, United States
| | - Jin U Kang
- Department of Electrical and Computer Engineering, Johns Hopkins University, Baltimore, MD, United States
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12
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Jiang D, Koehler RC, Liu X, Kulikowicz E, Lee JK, Lu H, Liu P. Quantitative validation of MRI mapping of cerebral venous oxygenation with direct blood sampling: A graded-O 2 study in piglets. Magn Reson Med 2021; 86:1445-1453. [PMID: 33755253 PMCID: PMC8184598 DOI: 10.1002/mrm.28786] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/23/2020] [Revised: 02/12/2021] [Accepted: 03/08/2021] [Indexed: 12/21/2022]
Abstract
PURPOSE To validate two neonatal cerebral venous oxygenation (Yv ) MRI techniques, T2 relaxation under phase contrast (TRUPC) and accelerated TRUPC (aTRUPC) MRI, with oxygenation measured with direct blood sampling. METHODS In vivo experiments were performed on seven healthy newborn piglets. For each piglet, a catheter was placed in the superior sagittal sinus to obtain venous blood samples for blood gas oximetry measurement as a gold standard. During the MRI experiment, three to five venous oxygenation levels were achieved in each piglet by varying inhaled O2 content and breathing rate. Under each condition, Yv values of the superior sagittal sinus measured by TRUPC, aTRUPC, and blood gas oximetry were obtained. The Yv quantification in TRUPC and aTRUPC used a standard bovine blood calibration model. The aTRUPC scan was repeated twice to assess its reproducibility. Agreements among TRUPC Yv , aTRUPC Yv , and blood gas oximetry were evaluated by intraclass correlation coefficient (ICC) and paired Student's t-test. RESULTS The mean hematocrit was 23.6 ± 6.5% among the piglets. Across all measurements, Yv values were 51.9 ± 21.3%, 54.1 ± 18.8%, and 53.7 ± 19.2% for blood gas oximetry, TRUPC and aTRUPC, respectively, showing no significant difference between any two methods (P > .3). There were good correlations between TRUPC and blood gas Yv (ICC = 0.801; P < .0001), between aTRUPC and blood gas Yv (ICC = 0.809; P < .0001), and between aTRUPC and TRUPC Yv (ICC = 0.887; P < .0001). The coefficient of variation of aTRUPC Yv was 8.1 ± 9.9%. CONCLUSION The values of Yv measured by TRUPC and aTRUPC were in good agreement with blood gas oximetry. These findings suggest that TRUPC and aTRUPC can provide accurate quantifications of Yv in major cerebral veins.
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Affiliation(s)
- Dengrong Jiang
- The Russell H. Morgan Department of Radiology & Radiological Science, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA
| | - Raymond C. Koehler
- Department of Anesthesiology and Critical Care Medicine, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA
| | - Xiuyun Liu
- Department of Anesthesiology and Critical Care Medicine, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA
| | - Ewa Kulikowicz
- Department of Anesthesiology and Critical Care Medicine, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA
| | - Jennifer K. Lee
- Department of Anesthesiology and Critical Care Medicine, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA
| | - Hanzhang Lu
- The Russell H. Morgan Department of Radiology & Radiological Science, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA.,Department of Biomedical Engineering, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA.,F.M. Kirby Research Center for Functional Brain Imaging, Kennedy Krieger Research Institute, Baltimore, Maryland, USA
| | - Peiying Liu
- The Russell H. Morgan Department of Radiology & Radiological Science, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA
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13
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Yang X, Chen YH, Xia F, Sawan M. Photoacoustic imaging for monitoring of stroke diseases: A review. PHOTOACOUSTICS 2021; 23:100287. [PMID: 34401324 PMCID: PMC8353507 DOI: 10.1016/j.pacs.2021.100287] [Citation(s) in RCA: 24] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/14/2021] [Revised: 07/02/2021] [Accepted: 07/16/2021] [Indexed: 05/14/2023]
Abstract
Stroke is the leading cause of death and disability after ischemic heart disease. However, there is lacking a non-invasive long-time monitoring technique for stroke diagnosis and therapy. The photoacoustic imaging approach reconstructs images of an object based on the energy excitation by optical absorption and its conversion to acoustic waves, due to corresponding thermoelastic expansion, which has optical resolution and acoustic propagation. This emerging functional imaging method is a non-invasive technique. Due to its precision, this method is particularly attractive for stroke monitoring purpose. In this paper, we review the achievements of this technology and its applications on stroke, as well as the development status in both animal and human applications. Also, various photoacoustic systems and multi-modality photoacoustic imaging are introduced as for potential clinical applications. Finally, the challenges of photoacoustic imaging for monitoring stroke are discussed.
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Affiliation(s)
- Xi Yang
- Zhejiang University, Hangzhou, 310024, Zhejiang, China
- CenBRAIN Lab., School of Engineering, Westlake University, Hangzhou, 310024, Zhejiang, China
- Institute of Advanced Technology, Westlake Institute for Advanced Study, Hangzhou, 310024, Zhejiang, China
| | - Yun-Hsuan Chen
- CenBRAIN Lab., School of Engineering, Westlake University, Hangzhou, 310024, Zhejiang, China
- Institute of Advanced Technology, Westlake Institute for Advanced Study, Hangzhou, 310024, Zhejiang, China
| | - Fen Xia
- Zhejiang University, Hangzhou, 310024, Zhejiang, China
- CenBRAIN Lab., School of Engineering, Westlake University, Hangzhou, 310024, Zhejiang, China
- Institute of Advanced Technology, Westlake Institute for Advanced Study, Hangzhou, 310024, Zhejiang, China
| | - Mohamad Sawan
- CenBRAIN Lab., School of Engineering, Westlake University, Hangzhou, 310024, Zhejiang, China
- Institute of Advanced Technology, Westlake Institute for Advanced Study, Hangzhou, 310024, Zhejiang, China
- Corresponding author at: CenBRAIN Lab., School of Engineering, Westlake University, Hangzhou, 310024, Zhejiang, China.
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14
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Mohammadi L, Behnam H, Tavakkoli J, Avanaki K. Skull acoustic aberration correction in photoacoustic microscopy using a vector space similarity model: a proof-of-concept simulation study. BIOMEDICAL OPTICS EXPRESS 2020; 11:5542-5556. [PMID: 33149969 PMCID: PMC7587255 DOI: 10.1364/boe.402027] [Citation(s) in RCA: 12] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/07/2020] [Revised: 08/30/2020] [Accepted: 09/07/2020] [Indexed: 05/18/2023]
Abstract
Skull bone represents a highly acoustical impedance mismatch and a dispersive barrier for the propagation of acoustic waves. Skull distorts the amplitude and phase information of the received waves at different frequencies in a transcranial brain imaging. We study a novel algorithm based on vector space similarity model for the compensation of the skull-induced distortions in transcranial photoacoustic microscopy. The results of the algorithm tested on a simplified numerical skull phantom, demonstrate a fully recovered vasculature with the recovery rate of 91.9%.
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Affiliation(s)
- Leila Mohammadi
- Department of Biomedical Engineering, Science and Research Branch, Islamic Azad University, Tehran, Iran
| | - Hamid Behnam
- Department of Biomedical Engineering, Iran University of Science and Technology, Tehran 1684613114, Iran
| | - Jahan Tavakkoli
- Department of Physics, Ryerson University, Toronto, ON M5B 2K3, Canada
- Institute for Biomedical Engineering, Science and Technology (iBEST), Keenan Research Center for Biomedical Science, St. Michael’s Hospital, Toronto, ON M5B 1W8, Canada
| | - Kamran Avanaki
- Department of Bioengineering, University of Illinois at Chicago, Chicago, IL 60607, USA
- Department of Dermatology, University of Illinois at Chicago, Chicago, IL 60607, USA
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15
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Kang J, Kadam SD, Elmore JS, Sullivan BJ, Valentine H, Malla AP, Harraz MM, Rahmim A, Kang JU, Loew LM, Baumann MH, Grace AA, Gjedde A, Boctor EM, Wong DF. Transcranial photoacoustic imaging of NMDA-evoked focal circuit dynamics in the rat hippocampus. J Neural Eng 2020; 17:025001. [PMID: 32084654 DOI: 10.1088/1741-2552/ab78ca] [Citation(s) in RCA: 15] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/22/2022]
Abstract
OBJECTIVE We report the transcranial functional photoacoustic (fPA) neuroimaging of N-methyl-D-aspartate (NMDA) evoked neural activity in the rat hippocampus. Concurrent quantitative electroencephalography (qEEG) and microdialysis were used to record real-time circuit dynamics and excitatory neurotransmitter concentrations, respectively. APPROACH We hypothesized that location-specific fPA voltage-sensitive dye (VSD) contrast would identify neural activity changes in the hippocampus which correlate with NMDA-evoked excitatory neurotransmission. MAIN RESULTS Transcranial fPA VSD imaging at the contralateral side of the microdialysis probe provided NMDA-evoked VSD responses with positive correlation to extracellular glutamate concentration changes. qEEG validated a wide range of glutamatergic excitation, which culminated in focal seizure activity after a high NMDA dose. We conclude that transcranial fPA VSD imaging can distinguish focal glutamate loads in the rat hippocampus, based on the VSD redistribution mechanism which is sensitive to the electrophysiologic membrane potential. SIGNIFICANCE Our results suggest the future utility of this emerging technology in both laboratory and clinical sciences as an innovative functional neuroimaging modality.
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Affiliation(s)
- Jeeun Kang
- Russell H. Morgan Department of Radiology and Radiological Science, Johns Hopkins University, Baltimore, MD, United States of America. Laboratory of Computational Sensing and Robotics, Whiting School of Engineering, Johns Hopkins University, Baltimore, MD, United States of America
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16
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Optics Based Label-Free Techniques and Applications in Brain Monitoring. APPLIED SCIENCES-BASEL 2020. [DOI: 10.3390/app10062196] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/29/2022]
Abstract
Functional near-infrared spectroscopy (fNIRS) has been utilized already around three decades for monitoring the brain, in particular, oxygenation changes in the cerebral cortex. In addition, other optical techniques are currently developed for in vivo imaging and in the near future can be potentially used more in human brain research. This paper reviews the most common label-free optical technologies exploited in brain monitoring and their current and potential clinical applications. Label-free tissue monitoring techniques do not require the addition of dyes or molecular contrast agents. The following optical techniques are considered: fNIRS, diffuse correlations spectroscopy (DCS), photoacoustic imaging (PAI) and optical coherence tomography (OCT). Furthermore, wearable optical brain monitoring with the most common applications is discussed.
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17
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Kang J, Zhang HK, Kadam SD, Fedorko J, Valentine H, Malla AP, Yan P, Harraz MM, Kang JU, Rahmim A, Gjedde A, Loew LM, Wong DF, Boctor EM. Transcranial Recording of Electrophysiological Neural Activity in the Rodent Brain in vivo Using Functional Photoacoustic Imaging of Near-Infrared Voltage-Sensitive Dye. Front Neurosci 2019; 13:579. [PMID: 31447622 PMCID: PMC6696882 DOI: 10.3389/fnins.2019.00579] [Citation(s) in RCA: 29] [Impact Index Per Article: 5.8] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/11/2019] [Accepted: 05/22/2019] [Indexed: 12/27/2022] Open
Abstract
Minimally-invasive monitoring of electrophysiological neural activities in real-time-that enables quantification of neural functions without a need for invasive craniotomy and the longer time constants of fMRI and PET-presents a very challenging yet significant task for neuroimaging. In this paper, we present in vivo functional PA (fPA) imaging of chemoconvulsant rat seizure model with intact scalp using a fluorescence quenching-based cyanine voltage-sensitive dye (VSD) characterized by a lipid vesicle model mimicking different levels of membrane potential variation. The framework also involves use of a near-infrared VSD delivered through the blood-brain barrier (BBB), opened by pharmacological modulation of adenosine receptor signaling. Our normalized time-frequency analysis presented in vivo VSD response in the seizure group significantly distinguishable from those of the control groups at sub-mm spatial resolution. Electroencephalogram (EEG) recording confirmed the changes of severity and frequency of brain activities, induced by chemoconvulsant seizures of the rat brain. The findings demonstrate that the near-infrared fPA VSD imaging is a promising tool for in vivo recording of brain activities through intact scalp, which would pave a way to its future translation in real time human brain imaging.
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Affiliation(s)
- Jeeun Kang
- Whiting School of Engineering, Johns Hopkins University, Baltimore, MD, United States
- Russell H. Morgan Department of Radiology and Radiological Science, Johns Hopkins Medical Institutions, Baltimore, MD, United States
| | - Haichong K. Zhang
- Whiting School of Engineering, Johns Hopkins University, Baltimore, MD, United States
- Russell H. Morgan Department of Radiology and Radiological Science, Johns Hopkins Medical Institutions, Baltimore, MD, United States
| | - Shilpa D. Kadam
- Department of Neurology, Hugo W. Moser Research Institute at Kennedy Krieger, Johns Hopkins Medical Institutions, Baltimore, MD, United States
| | - Julie Fedorko
- Russell H. Morgan Department of Radiology and Radiological Science, Johns Hopkins Medical Institutions, Baltimore, MD, United States
| | - Heather Valentine
- Russell H. Morgan Department of Radiology and Radiological Science, Johns Hopkins Medical Institutions, Baltimore, MD, United States
| | - Adarsha P. Malla
- Solomon H. Snyder Department of Neuroscience, Johns Hopkins University, Baltimore, MD, United States
| | - Ping Yan
- R. D. Berlin Center for Cell Analysis and Modeling, University of Connecticut Health, Farmington, CT, United States
| | - Maged M. Harraz
- Solomon H. Snyder Department of Neuroscience, Johns Hopkins University, Baltimore, MD, United States
| | - Jin U. Kang
- Whiting School of Engineering, Johns Hopkins University, Baltimore, MD, United States
| | - Arman Rahmim
- Russell H. Morgan Department of Radiology and Radiological Science, Johns Hopkins Medical Institutions, Baltimore, MD, United States
| | - Albert Gjedde
- Russell H. Morgan Department of Radiology and Radiological Science, Johns Hopkins Medical Institutions, Baltimore, MD, United States
- Department of Neuroscience, University of Copenhagen, Copenhagen, Denmark
| | - Leslie M. Loew
- R. D. Berlin Center for Cell Analysis and Modeling, University of Connecticut Health, Farmington, CT, United States
| | - Dean F. Wong
- Russell H. Morgan Department of Radiology and Radiological Science, Johns Hopkins Medical Institutions, Baltimore, MD, United States
- Solomon H. Snyder Department of Neuroscience, Johns Hopkins University, Baltimore, MD, United States
- Department of Neuroscience, University of Copenhagen, Copenhagen, Denmark
- Department of Psychiatry and Behavioral Sciences, Johns Hopkins Medical Institutions, Baltimore, MD, United States
- Department of Neurology, Johns Hopkins Medical Institutions, Baltimore, MD, United States
- Department of Environmental Sciences and Engineering, Johns Hopkins University, Baltimore, MD, United States
| | - Emad M. Boctor
- Whiting School of Engineering, Johns Hopkins University, Baltimore, MD, United States
- Russell H. Morgan Department of Radiology and Radiological Science, Johns Hopkins Medical Institutions, Baltimore, MD, United States
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18
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Mohammadi L, Behnam H, Tavakkoli J, Avanaki MRN. Skull's Photoacoustic Attenuation and Dispersion Modeling with Deterministic Ray-Tracing: Towards Real-Time Aberration Correction. SENSORS (BASEL, SWITZERLAND) 2019; 19:E345. [PMID: 30654543 PMCID: PMC6359310 DOI: 10.3390/s19020345] [Citation(s) in RCA: 21] [Impact Index Per Article: 4.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 12/07/2018] [Revised: 01/10/2019] [Accepted: 01/14/2019] [Indexed: 12/25/2022]
Abstract
Although transcranial photoacoustic imaging has been previously investigated by several groups, there are many unknowns about the distorting effects of the skull due to the impedance mismatch between the skull and underlying layers. The current computational methods based on finite-element modeling are slow, especially in the cases where fine grids are defined for a large 3-D volume. We develop a very fast modeling/simulation framework based on deterministic ray-tracing. The framework considers a multilayer model of the medium, taking into account the frequency-dependent attenuation and dispersion effects that occur in wave reflection, refraction, and mode conversion at the skull surface. The speed of the proposed framework is evaluated. We validate the accuracy of the framework using numerical phantoms and compare its results to k-Wave simulation results. Analytical validation is also performed based on the longitudinal and shear wave transmission coefficients. We then simulated, using our method, the major skull-distorting effects including amplitude attenuation, time-domain signal broadening, and time shift, and confirmed the findings by comparing them to several ex vivo experimental results. It is expected that the proposed method speeds up modeling and quantification of skull tissue and allows the development of transcranial photoacoustic brain imaging.
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Affiliation(s)
- Leila Mohammadi
- Department of Biomedical Engineering, Islamic Azad University, Science and Research Branch, Tehran 1477893855, Iran.
| | - Hamid Behnam
- Department of Biomedical Engineering, Iran University of Science and Technology, Tehran 1684613114, Iran.
| | - Jahan Tavakkoli
- Department of Physics, Ryerson University, Toronto, ON M5B 2K3, Canada.
- Institute for Biomedical Engineering, Science and Technology (iBEST), Keenan Research Center for Biomedical Science, St. Michael's Hospital, Toronto, ON M5B 1W8, Canada.
| | - Mohammad R N Avanaki
- Department of Biomedical Engineering, Wayne State University, Detroit, MI 48202, USA.
- Department of Dermatology, Wayne State University School of Medicine, Detroit, MI 48201, USA.
- Barbara Ann Karmanos Cancer Institute, Detroit, MI 48201, USA.
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19
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Anas EMA, Zhang HK, Audigier C, Boctor EM. Robust Photoacoustic Beamforming Using Dense Convolutional Neural Networks. SIMULATION, IMAGE PROCESSING, AND ULTRASOUND SYSTEMS FOR ASSISTED DIAGNOSIS AND NAVIGATION 2018:3-11. [DOI: 10.1007/978-3-030-01045-4_1] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 09/01/2023]
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