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Wen C, Chen D, Zhong R, Peng X. Animal models of inflammatory bowel disease: category and evaluation indexes. Gastroenterol Rep (Oxf) 2024; 12:goae021. [PMID: 38634007 PMCID: PMC11021814 DOI: 10.1093/gastro/goae021] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/05/2023] [Revised: 02/12/2024] [Accepted: 02/29/2024] [Indexed: 04/19/2024] Open
Abstract
Inflammatory bowel disease (IBD) research often relies on animal models to study the etiology, pathophysiology, and management of IBD. Among these models, rats and mice are frequently employed due to their practicality and genetic manipulability. However, for studies aiming to closely mimic human pathology, non-human primates such as monkeys and dogs offer valuable physiological parallels. Guinea pigs, while less commonly used, present unique advantages for investigating the intricate interplay between neurological and immunological factors in IBD. Additionally, New Zealand rabbits excel in endoscopic biopsy techniques, providing insights into mucosal inflammation and healing processes. Pigs, with their physiological similarities to humans, serve as ideal models for exploring the complex relationships between nutrition, metabolism, and immunity in IBD. Beyond mammals, non-mammalian organisms including zebrafish, Drosophila melanogaster, and nematodes offer specialized insights into specific aspects of IBD pathology, highlighting the diverse array of model systems available for advancing our understanding of this multifaceted disease. In this review, we conduct a thorough analysis of various animal models employed in IBD research, detailing their applications and essential experimental parameters. These include clinical observation, Disease Activity Index score, pathological assessment, intestinal barrier integrity, fibrosis, inflammatory markers, intestinal microbiome, and other critical parameters that are crucial for evaluating modeling success and drug efficacy in experimental mammalian studies. Overall, this review will serve as a valuable resource for researchers in the field of IBD, offering insights into the diverse array of animal models available and their respective applications in studying IBD.
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Affiliation(s)
- Changlin Wen
- Sichuan Industrial Institute of Antibiotics, School of Pharmacy, Chengdu University, Chengdu, Sichuan, P. R. China
| | - Dan Chen
- Acupuncture and Moxibustion School of Teaching, Hospital of Chengdu University of Traditional Chinese Medicine, Chengdu, Sichuan, P. R. China
| | - Rao Zhong
- Sichuan Industrial Institute of Antibiotics, School of Pharmacy, Chengdu University, Chengdu, Sichuan, P. R. China
| | - Xi Peng
- Sichuan Industrial Institute of Antibiotics, School of Pharmacy, Chengdu University, Chengdu, Sichuan, P. R. China
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Hoerning A, Jüngert J, Siebenlist G, Knieling F, Regensburger AP. Ultrasound in Pediatric Inflammatory Bowel Disease-A Review of the State of the Art and Future Perspectives. CHILDREN (BASEL, SWITZERLAND) 2024; 11:156. [PMID: 38397268 PMCID: PMC10887069 DOI: 10.3390/children11020156] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/27/2023] [Revised: 01/22/2024] [Accepted: 01/24/2024] [Indexed: 02/25/2024]
Abstract
Inflammatory bowel disease (IBD) comprises a group of relapsing, chronic diseases of the gastrointestinal tract that, in addition to adults, can affect children and adolescents. To detect relapses of inflammation, these patients require close observation, frequent follow-up, and therapeutic adjustments. While reference standard diagnostics include anamnestic factors, laboratory and stool sample assessment, performing specific imaging in children and adolescents is much more challenging than in adults. Endoscopic and classic cross-sectional imaging modalities may be invasive and often require sedation for younger patients. For this reason, intestinal ultrasound (IUS) is becoming increasingly important for the non-invasive assessment of the intestine and its inflammatory affection. In this review, we would like to shed light on the current state of the art and provide an outlook on developments in this field that could potentially spare these patients more invasive follow-up procedures.
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Affiliation(s)
- André Hoerning
- Department of Pediatrics and Adolescent Medicine, University Hospital Erlangen, Friedrich-Alexander-University (FAU) Erlangen-Nürnberg, 91054 Erlangen, Germany
- German Center Immunotherapy (DZI), University Hospital Erlangen, Friedrich-Alexander-University (FAU) Erlangen-Nürnberg, 91054 Erlangen, Germany
| | - Jörg Jüngert
- Department of Pediatrics and Adolescent Medicine, University Hospital Erlangen, Friedrich-Alexander-University (FAU) Erlangen-Nürnberg, 91054 Erlangen, Germany
| | - Gregor Siebenlist
- Department of Pediatrics and Adolescent Medicine, University Hospital Erlangen, Friedrich-Alexander-University (FAU) Erlangen-Nürnberg, 91054 Erlangen, Germany
| | - Ferdinand Knieling
- Department of Pediatrics and Adolescent Medicine, University Hospital Erlangen, Friedrich-Alexander-University (FAU) Erlangen-Nürnberg, 91054 Erlangen, Germany
| | - Adrian P Regensburger
- Department of Pediatrics and Adolescent Medicine, University Hospital Erlangen, Friedrich-Alexander-University (FAU) Erlangen-Nürnberg, 91054 Erlangen, Germany
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3
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Vorobev V, Weidmann D, Agdarov S, Beiderman Y, Shabairou N, Benyamin M, Klämpfl F, Schmidt M, Gorin D, Zalevsky Z. Full-optical photoacoustic imaging using speckle analysis and resolution enhancement by orthogonal pump patterns projection. Sci Rep 2023; 13:18081. [PMID: 37872441 PMCID: PMC10593755 DOI: 10.1038/s41598-023-45490-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/02/2023] [Accepted: 10/19/2023] [Indexed: 10/25/2023] Open
Abstract
This paper presents an approach for achieving full optical photoacoustic imaging with enhanced resolution utilizing speckle pattern analysis. The proposed technique involves projecting patterns derived from binary masks corresponding to orthogonal functions onto the target to elicit a photoacoustic signal. The resulting signal is then recorded using a high-speed camera and analyzed using correlation analysis of the speckle motion. Our results demonstrate the feasibility of this optical approach to achieve imaging with enhanced resolution without the need for physical contact with the target, opening up new possibilities for non-invasive medical imaging and other applications.
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Affiliation(s)
- Viktor Vorobev
- Center for Photonic Science and Engineering, Skolkovo Innovation Center, Skolkovo Institute of Science and Technology, Moscow, Russia, 143026.
| | - David Weidmann
- Faculty of Engineering, Bar-Ilan University, 52900, Ramat-Gan, Israel
| | - Sergey Agdarov
- Faculty of Engineering, Bar-Ilan University, 52900, Ramat-Gan, Israel
| | - Yafim Beiderman
- Faculty of Engineering, Bar-Ilan University, 52900, Ramat-Gan, Israel
| | - Nadav Shabairou
- Faculty of Engineering, Bar-Ilan University, 52900, Ramat-Gan, Israel
| | - Matan Benyamin
- Faculty of Engineering, Bar-Ilan University, 52900, Ramat-Gan, Israel
| | - Florian Klämpfl
- Lehrstuhl für Photonische Technologien, Friedrich-Alexander-Universität Erlangen-Nürnberg, 91052, Erlangen, Germany
| | - Michael Schmidt
- Lehrstuhl für Photonische Technologien, Friedrich-Alexander-Universität Erlangen-Nürnberg, 91052, Erlangen, Germany
| | - Dmitry Gorin
- Center for Photonic Science and Engineering, Skolkovo Innovation Center, Skolkovo Institute of Science and Technology, Moscow, Russia, 143026
| | - Zeev Zalevsky
- Faculty of Engineering, Bar-Ilan University, 52900, Ramat-Gan, Israel.
- Lehrstuhl für Photonische Technologien, Friedrich-Alexander-Universität Erlangen-Nürnberg, 91052, Erlangen, Germany.
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4
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Ni L, Wang X, Xu G. Photoacoustic clinical applications: Musculoskeletal and abdominal imaging. Z Med Phys 2023; 33:324-335. [PMID: 37365088 PMCID: PMC10517401 DOI: 10.1016/j.zemedi.2023.04.009] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/22/2022] [Revised: 04/04/2023] [Accepted: 04/21/2023] [Indexed: 06/28/2023]
Abstract
Photoacoustic (PA) imaging has been extensively investigated in application in biomedicine over the last decade. This article reviews the motivation, significance, and system configuration of a few ongoing studies of implementing photoacoustic technology in musculoskeletal imaging, abdominal imaging, and interstitial sensing. The review then summarizes the methodologies and latest progress of relevant projects. Finally, we discuss our expectations for the future of translation research in PA imaging.
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Affiliation(s)
- Linyu Ni
- Department of Biomedical Engineering, University of Michigan, 2200 Bonisteel Blvd, Ann Arbor, MI 48109, USA
| | - Xueding Wang
- Department of Biomedical Engineering, University of Michigan, 2200 Bonisteel Blvd, Ann Arbor, MI 48109, USA
| | - Guan Xu
- Department of Biomedical Engineering, University of Michigan, 2200 Bonisteel Blvd, Ann Arbor, MI 48109, USA; Department of Ophthalmology and Visual Sciences, University of Michigan, 1000 Wall St., Ann Arbor, MI 48105, USA.
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Xiao J, Jiang J, Zhang J, Wang Y, Wang B. Acoustic-resolution-based spectroscopic photoacoustic endoscopy towards molecular imaging in deep tissues. OPTICS EXPRESS 2022; 30:35014-35028. [PMID: 36242503 DOI: 10.1364/oe.469550] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/07/2022] [Accepted: 08/22/2022] [Indexed: 06/16/2023]
Abstract
Due to many technical difficulties, the study of molecular photoacoustic endoscopic (PAE) imaging in deep tissues is limited. In this work, we have set up a multimodal acoustic-resolution-based PAE (AR-PAE) system to image the rabbit rectum and preliminarily explored the potential of molecular PAE for deep-seated targets in proof-of-concept. We developed an improved back-projection (IBP) algorithm for focused detection over the centimeter-scale imaging depth. We also developed a deep-learning-based algorithm to remove the electrical noise from the step motor to prevent data averaging for reduced scanning time. We injected a dose of indocyanine green (ICG) near the rabbit rectum and compared 2D and 3D photoacoustic/ultrasound (PA/US) images at different wavelengths. We proposed incorporating a small camera to guide the slow PA/US endoscopic scan. Results show that this system has achieved a lateral resolution of about 0.77/0.65 mm for PA/US images with a signal-to-noise ratio (SNR) of 25/38 dB at an imaging depth of 1.4 cm. We found that the rectum wall and the ICG can be well distinguished spectroscopically. Results also show that the PA images at 532 nm have higher signal intensity and reflection artifacts from pelvic tendons and bones than those at longer wavelengths such as 800 nm. The proposed methods and the intuitive findings in this work may guide and promote the development of high-penetration molecular PAE.
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Feng F, Liang S, Luo J, Chen SL. High-fidelity deconvolution for acoustic-resolution photoacoustic microscopy enabled by convolutional neural networks. PHOTOACOUSTICS 2022; 26:100360. [PMID: 35574187 PMCID: PMC9095893 DOI: 10.1016/j.pacs.2022.100360] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/22/2022] [Revised: 04/18/2022] [Accepted: 04/18/2022] [Indexed: 05/10/2023]
Abstract
Acoustic-resolution photoacoustic microscopy (AR-PAM) image resolution is determined by the point spread function (PSF) of the imaging system. Previous algorithms, including Richardson-Lucy (R-L) deconvolution and model-based (MB) deconvolution, improve spatial resolution by taking advantage of the PSF as prior knowledge. However, these methods encounter the problems of inaccurate deconvolution, meaning the deconvolved feature size and the original one are not consistent (e.g., the former can be smaller than the latter). We present a novel deep convolution neural network (CNN)-based algorithm featuring high-fidelity recovery of multiscale feature size to improve lateral resolution of AR-PAM. The CNN is trained with simulated image pairs of line patterns, which is to mimic blood vessels. To investigate the suitable CNN model structure and elaborate on the effectiveness of CNN methods compared with non-learning methods, we select five different CNN models, while R-L and directional MB methods are also applied for comparison. Besides simulated data, experimental data including tungsten wires, leaf veins, and in vivo blood vessels are also evaluated. A custom-defined metric of relative size error (RSE) is used to quantify the multiscale feature recovery ability of different methods. Compared to other methods, enhanced deep super resolution (EDSR) network and residual in residual dense block network (RRDBNet) model show better recovery in terms of RSE for tungsten wires with diameters ranging from 30 μ m to 120 μ m . Moreover, AR-PAM images of leaf veins are tested to demonstrate the effectiveness of the optimized CNN methods (by EDSR and RRDBNet) for complex patterns. Finally, in vivo images of mouse ear blood vessels and rat ear blood vessels are acquired and then deconvolved, and the results show that the proposed CNN method (notably RRDBNet) enables accurate deconvolution of multiscale feature size and thus good fidelity.
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Affiliation(s)
- Fei Feng
- University of Michigan–Shanghai Jiao Tong University Joint Institute, Shanghai Jiao Tong University, Shanghai 200240, China
| | - Siqi Liang
- University of Michigan–Shanghai Jiao Tong University Joint Institute, Shanghai Jiao Tong University, Shanghai 200240, China
| | - Jiajia Luo
- Institute of Medical Technology, Peking University Health Science Center, Beijing 100191, China
- Biomedical Engineering Department, Peking University, Beijing 100191, China
- Peking University People’s Hospital, Beijing 100044, China
- Corresponding author at: Biomedical Engineering Department, Peking University, Beijing 100191, China.
| | - Sung-Liang Chen
- University of Michigan–Shanghai Jiao Tong University Joint Institute, Shanghai Jiao Tong University, Shanghai 200240, China
- State Key Laboratory of Advanced Optical Communication Systems and Networks, Shanghai Jiao Tong University, Shanghai 200240, China
- Engineering Research Center of Digital Medicine and Clinical Translation, Ministry of Education, Shanghai 200030, China
- Corresponding author at: University of Michigan–Shanghai Jiao Tong University Joint Institute, Shanghai Jiao Tong University, Shanghai 200240, China.
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7
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Zhu Y, Ni L, Hu G, Johnson LA, Eaton KA, Wang X, Higgins PDR, Xu G. Prototype endoscopic photoacoustic-ultrasound balloon catheter for characterizing intestinal obstruction. BIOMEDICAL OPTICS EXPRESS 2022; 13:3355-3365. [PMID: 35781972 PMCID: PMC9208587 DOI: 10.1364/boe.456672] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/08/2022] [Revised: 04/03/2022] [Accepted: 04/05/2022] [Indexed: 06/14/2023]
Abstract
In our previous studies, we have demonstrated the feasibility of characterizing intestinal inflammation and fibrosis using endoscopic photoacoustic imaging. Purposed at te clinical translation of the imaging technology, we developed a photoacoustic/ultrasound imaging probe by integrating a miniaturized ultrasound array and an angle-tipped optical fiber in a hydrostatic balloon catheter. When collapsed, the catheter probe may potentially be compatible with a clinical ileo-colonoscope. In addition, the flexible surface of the hydrostatic balloon allows for acoustic coupling at the uneven surfaces of the gas-filled intestine. Tissue phantom studies show that the catheter probe possesses an imaging penetration of at least 12 mm. Experiments with a rabbit model in vivo validated the probe in differentiating normal, acute and chronic conditions in intestinal obstruction.
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Affiliation(s)
- Yunhao Zhu
- Department of Biomedical Engineering, University of Michigan, USA
| | - Linyu Ni
- Department of Biomedical Engineering, University of Michigan, USA
| | - Guorong Hu
- Department of Biomedical Engineering, University of Michigan, USA
| | | | - Kathryn A. Eaton
- Department of Microbiology and Immunology, University of Michigan, USA
| | - Xueding Wang
- Department of Biomedical Engineering, University of Michigan, USA
| | | | - Guan Xu
- Department of Biomedical Engineering, University of Michigan, USA
- Department of Ophthalmology and Visual Sciences, University of Michigan, USA
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Ali Z, Zakian C, Li Q, Gloriod J, Crozat S, Bouvet F, Pierre G, Sarantos V, Di Pietro M, Flisikowski K, Andersen P, Drexler W, Ntziachristos V. 360 º optoacoustic capsule endoscopy at 50 Hz for esophageal imaging. PHOTOACOUSTICS 2022; 25:100333. [PMID: 35242538 PMCID: PMC8864533 DOI: 10.1016/j.pacs.2022.100333] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 10/15/2021] [Revised: 01/10/2022] [Accepted: 01/31/2022] [Indexed: 06/14/2023]
Abstract
Gastrointestinal (GI) endoscopy is a common medical diagnostic procedure used for esophageal cancer detection. Current emerging capsule optoacoustic endoscopes, however, suffer from low pulse repetition rates and slow scanning units limit attainable imaging frame rates. Consequently, motion artifacts result in inaccurate spatial mapping and misinterpretation of data. To overcome these limitations, we report a 360º, 50 Hz frame rate, distal scanning capsule optoacoustic endoscope. The translational capability of the instrument for human GI tract imaging was characterized with an Archimedean spiral phantom consisting of twelve 100 µm sutures, a stainless steel mesh with a pitch of 3 mm and an ex vivo pig esophagus sample. We estimated an imaging penetration depth of ~0.84 mm in vivo by immersing the mesh phantom in intralipid solution to simulate light scattering in human esophageal tissue and validated our findings ex vivo using pig esophagus. This proof-of-concept study demonstrates the translational potential of the proposed video-rate endoscope for human GI tract imaging.
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Affiliation(s)
- Zakiullah Ali
- Chair of Biological Imaging, Center for Translational Cancer Research (TranslaTUM), School of Medicine, Technical University of Munich, Munich, Germany
- Institute of Biological and Medical Imaging, Helmholtz Zentrum München, Neuherberg, Germany
| | - Christian Zakian
- Chair of Biological Imaging, Center for Translational Cancer Research (TranslaTUM), School of Medicine, Technical University of Munich, Munich, Germany
- Institute of Biological and Medical Imaging, Helmholtz Zentrum München, Neuherberg, Germany
| | - Qian Li
- Center of Medical Physics and Biomedical Engineering, Medical university of Vienna, Vienna, Austria
| | | | | | | | | | | | | | - Krzysztof Flisikowski
- Chair of Livestock Biotechnology, School of Life Science, Technical University of Munich, Freising, Germany
| | - Peter Andersen
- Department of Health Technology, Technical University of Denmark, Lyngby, Denmark
| | - Wolfgang Drexler
- Center of Medical Physics and Biomedical Engineering, Medical university of Vienna, Vienna, Austria
| | - Vasilis Ntziachristos
- Chair of Biological Imaging, Center for Translational Cancer Research (TranslaTUM), School of Medicine, Technical University of Munich, Munich, Germany
- Institute of Biological and Medical Imaging, Helmholtz Zentrum München, Neuherberg, Germany
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Abstract
PURPOSE OF REVIEW Fibrosis is an important biomarker of chronic kidney injury, and a powerful predictor of renal outcome. Currently, the only method for measuring fibrotic burden is histologic analysis, which requires a kidney biopsy in humans, or kidney removal in animal models. These requirements have not only hindered our ability to manage patients effectively, but have also prevented a full understanding of renal fibrosis pathogenesis, and slowed the translation of new antifibrotic agents. The development of noninvasive fibrosis imaging tools could thus transform both clinical care and renal fibrosis research. RECENT FINDINGS Conventional imaging modalities have historically failed to image fibrosis successfully. However, recent exciting technological advances have greatly enhanced their capabilities. New techniques, for example, may allow imaging of the physical consequences of scarring, as surrogate measures of renal fibrosis. Similarly, other groups have developed ways to directly image extracellular matrix, either with the use of contrast-enhanced probes, or using matrix components as endogenous contrast agents. SUMMARY New developments in imaging technology have the potential to transform our ability to visualize renal fibrosis and to monitor its progression. In doing so, these advances could have major implications for kidney disease care, the development of new antiscarring agents, and our understanding of renal fibrosis in general.
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Gröhl J, Schellenberg M, Dreher K, Maier-Hein L. Deep learning for biomedical photoacoustic imaging: A review. PHOTOACOUSTICS 2021; 22:100241. [PMID: 33717977 PMCID: PMC7932894 DOI: 10.1016/j.pacs.2021.100241] [Citation(s) in RCA: 86] [Impact Index Per Article: 28.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/05/2020] [Revised: 01/18/2021] [Accepted: 01/20/2021] [Indexed: 05/04/2023]
Abstract
Photoacoustic imaging (PAI) is a promising emerging imaging modality that enables spatially resolved imaging of optical tissue properties up to several centimeters deep in tissue, creating the potential for numerous exciting clinical applications. However, extraction of relevant tissue parameters from the raw data requires the solving of inverse image reconstruction problems, which have proven extremely difficult to solve. The application of deep learning methods has recently exploded in popularity, leading to impressive successes in the context of medical imaging and also finding first use in the field of PAI. Deep learning methods possess unique advantages that can facilitate the clinical translation of PAI, such as extremely fast computation times and the fact that they can be adapted to any given problem. In this review, we examine the current state of the art regarding deep learning in PAI and identify potential directions of research that will help to reach the goal of clinical applicability.
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Affiliation(s)
- Janek Gröhl
- German Cancer Research Center, Computer Assisted Medical Interventions, Heidelberg, Germany
- Heidelberg University, Medical Faculty, Heidelberg, Germany
| | - Melanie Schellenberg
- German Cancer Research Center, Computer Assisted Medical Interventions, Heidelberg, Germany
| | - Kris Dreher
- German Cancer Research Center, Computer Assisted Medical Interventions, Heidelberg, Germany
- Heidelberg University, Faculty of Physics and Astronomy, Heidelberg, Germany
| | - Lena Maier-Hein
- German Cancer Research Center, Computer Assisted Medical Interventions, Heidelberg, Germany
- Heidelberg University, Medical Faculty, Heidelberg, Germany
- Heidelberg University, Faculty of Mathematics and Computer Science, Heidelberg, Germany
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11
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Regensburger AP, Brown E, Krönke G, Waldner MJ, Knieling F. Optoacoustic Imaging in Inflammation. Biomedicines 2021; 9:483. [PMID: 33924983 PMCID: PMC8145174 DOI: 10.3390/biomedicines9050483] [Citation(s) in RCA: 22] [Impact Index Per Article: 7.3] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/19/2021] [Revised: 04/20/2021] [Accepted: 04/21/2021] [Indexed: 12/11/2022] Open
Abstract
Optoacoustic or photoacoustic imaging (OAI/PAI) is a technology which enables non-invasive visualization of laser-illuminated tissue by the detection of acoustic signals. The combination of "light in" and "sound out" offers unprecedented scalability with a high penetration depth and resolution. The wide range of biomedical applications makes this technology a versatile tool for preclinical and clinical research. Particularly when imaging inflammation, the technology offers advantages over current clinical methods to diagnose, stage, and monitor physiological and pathophysiological processes. This review discusses the clinical perspective of using OAI in the context of imaging inflammation as well as in current and emerging translational applications.
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Affiliation(s)
- Adrian P. Regensburger
- Department of Pediatrics and Adolescent Medicine, University Hospital Erlangen, Friedrich-Alexander-Universität (FAU) Erlangen-Nürnberg, Loschgestr. 15, D-91054 Erlangen, Germany;
| | - Emma Brown
- Department of Physics, University of Cambridge, JJ Thomson Avenue, Cambridge CB3 0HE, UK;
- Cancer Research UK Cambridge Institute, University of Cambridge, Li Ka Shing Centre, Robinson Way, Cambridge CB2 0RE, UK
| | - Gerhard Krönke
- Department of Medicine 3, University Hospital Erlangen, Friedrich-Alexander-Universität (FAU) Erlangen-Nürnberg, Ulmenweg 18, D-91054 Erlangen, Germany;
| | - Maximilian J. Waldner
- Department of Medicine 1, University Hospital Erlangen, Friedrich-Alexander-Universität (FAU) Erlangen-Nürnberg, Ulmenweg 18, D-91054 Erlangen, Germany;
| | - Ferdinand Knieling
- Department of Pediatrics and Adolescent Medicine, University Hospital Erlangen, Friedrich-Alexander-Universität (FAU) Erlangen-Nürnberg, Loschgestr. 15, D-91054 Erlangen, Germany;
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12
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Ali Z, Zakian C, Ntziachristos V. Ultra-broadband axicon transducer for optoacoustic endoscopy. Sci Rep 2021; 11:1654. [PMID: 33462279 PMCID: PMC7814136 DOI: 10.1038/s41598-021-81117-7] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/24/2020] [Accepted: 12/29/2020] [Indexed: 01/12/2023] Open
Abstract
Image performance in optoacoustic endoscopy depends markedly on the design of the transducer employed. Ideally, high-resolution performance is required over an expanded depth of focus. Current optoacoustic focused transducers achieve lateral resolutions in the range of tens of microns in the mesoscopic regime, but their depth of focus is limited to hundreds of microns by the nature of their spherical geometry. We designed an ultra-broadband axicon detector with a 2 mm central aperture and investigated whether the imaging characteristics exceeded those of a spherical detector of similar size. We show a previously undocumented ability to achieve a broadband elongated pencil-beam optoacoustic sensitivity with an axicon detection geometry, providing approximately 40 μm-lateral resolution maintained over a depth of focus of 950 μm—3.8 times that of the reference spherical detector. This performance could potentially lead to optoacoustic endoscopes that can visualize optical absorption deeper and with higher resolution than any other optical endoscope today.
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Affiliation(s)
- Zakiullah Ali
- Chair of Biological Imaging, Central Institute for Translational Cancer Research (TranslaTUM), Technical University of Munich, Munich, Germany.,Institute of Biological and Medical Imaging, Helmholtz Zentrum München, Neuherberg, Germany
| | - Christian Zakian
- Chair of Biological Imaging, Central Institute for Translational Cancer Research (TranslaTUM), Technical University of Munich, Munich, Germany.,Institute of Biological and Medical Imaging, Helmholtz Zentrum München, Neuherberg, Germany
| | - Vasilis Ntziachristos
- Chair of Biological Imaging, Central Institute for Translational Cancer Research (TranslaTUM), Technical University of Munich, Munich, Germany. .,Institute of Biological and Medical Imaging, Helmholtz Zentrum München, Neuherberg, Germany.
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13
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Guo H, Li Y, Qi W, Xi L. Photoacoustic endoscopy: A progress review. JOURNAL OF BIOPHOTONICS 2020; 13:e202000217. [PMID: 32935920 DOI: 10.1002/jbio.202000217] [Citation(s) in RCA: 25] [Impact Index Per Article: 6.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/04/2020] [Revised: 08/20/2020] [Accepted: 08/31/2020] [Indexed: 06/11/2023]
Abstract
Endoscopy has been widely used in biomedical imaging and integrated with various optical and acoustic imaging modalities. Photoacoustic imaging (PAI), one of the fastest growing biomedical imaging modalities, is a noninvasive and nonionizing method that owns rich optical contrast, deep acoustic penetration depth, multiscale and multiparametric imaging capability. Hence, it is preferred to miniaturize the volume of PAI and develop an emerged endoscopic imaging modality referred to as photoacoustic endoscopy (PAE). It has been developed for more than one decade since the first report of PAE. Unfortunately, until now, there is no mature photoacoustic endoscopic technique recognized in clinic due to various technical limitations. To address this concern, recent development of new scanning mechanisms, adoption of novel optical/acoustic devices, utilization of superior computation methods and exploration of multimodality strategies have significantly promoted the progress of PAE toward clinic. In this review, we comprehensively reviewed recent progresses in single- and multimodality PAE with new physics, mechanisms and strategies to achieve practical devices for potential applicable scenarios including esophageal, gastrointestinal, urogenital and intravascular imaging. We ended this review with challenges and prospects for future development of PAE.
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Affiliation(s)
- Heng Guo
- School of Physics, University of Electronic Science and Technology of China, Chengdu, China
| | - Ying Li
- Department of Biomedical Engineering, Southern University of Science and Technology, Shenzhen, Guangdong, China
| | - Weizhi Qi
- Department of Biomedical Engineering, Southern University of Science and Technology, Shenzhen, Guangdong, China
| | - Lei Xi
- Department of Biomedical Engineering, Southern University of Science and Technology, Shenzhen, Guangdong, China
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14
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Le Fur M, Zhou IY, Catalano O, Caravan P. Toward Molecular Imaging of Intestinal Pathology. Inflamm Bowel Dis 2020; 26:1470-1484. [PMID: 32793946 PMCID: PMC7500524 DOI: 10.1093/ibd/izaa213] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/24/2020] [Indexed: 12/13/2022]
Abstract
Inflammatory bowel disease (IBD) is defined by a chronic relapsing and remitting inflammation of the gastrointestinal tract, with intestinal fibrosis being a major complication. The etiology of IBD remains unknown, but it is thought to arise from a dysregulated and excessive immune response to gut luminal microbes triggered by genetic and environmental factors. To date, IBD has no cure, and treatments are currently directed at relieving symptoms and treating inflammation. The current diagnostic of IBD relies on endoscopy, which is invasive and does not provide information on the presence of extraluminal complications and molecular aspect of the disease. Cross-sectional imaging modalities such as computed tomography enterography (CTE), magnetic resonance enterography (MRE), positron emission tomography (PET), single photon emission computed tomography (SPECT), and hybrid modalities have demonstrated high accuracy for the diagnosis of IBD and can provide both functional and morphological information when combined with the use of molecular imaging probes. This review presents the state-of-the-art imaging techniques and molecular imaging approaches in the field of IBD and points out future directions that could help improve our understanding of IBD pathological processes, along with the development of efficient treatments.
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Affiliation(s)
- Mariane Le Fur
- The Athinoula A. Martinos Center for Biomedical Imaging, Department of Radiology, The Institute for Innovation in Imaging, Massachusetts General Hospital and Harvard Medical School, MA, USA
| | - Iris Y Zhou
- The Athinoula A. Martinos Center for Biomedical Imaging, Department of Radiology, The Institute for Innovation in Imaging, Massachusetts General Hospital and Harvard Medical School, MA, USA
| | - Onofrio Catalano
- The Athinoula A. Martinos Center for Biomedical Imaging, Department of Radiology, The Institute for Innovation in Imaging, Massachusetts General Hospital and Harvard Medical School, MA, USA,The Division of Abdominal Imaging, Department of Radiology, Massachusetts General Hospital and Harvard Medical School, MA, USA
| | - Peter Caravan
- The Athinoula A. Martinos Center for Biomedical Imaging, Department of Radiology, The Institute for Innovation in Imaging, Massachusetts General Hospital and Harvard Medical School, MA, USA,Address correspondence to: Peter Caravan, PhD, The Athinoula A. Martinos Center for Biomedical Imaging, Department of Radiology, The Institute for Innovation in Imaging, Massachusetts General Hospital and Harvard Medical School, 149 Thirteenth Street, Charlestown 02129, MA, USA. E-mail:
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15
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Qiu T, Yang J, Pan T, Peng C, Jiang H, Luo Y. Assessment of liver function reserve by photoacoustic tomography: a feasibility study. BIOMEDICAL OPTICS EXPRESS 2020; 11:3985-3995. [PMID: 33014580 DOI: 10.1364/boe.394344] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/06/2020] [Revised: 06/12/2020] [Accepted: 06/13/2020] [Indexed: 02/05/2023]
Abstract
Assessment of liver function reserve (LFR) is essential to determine liver resection scope and predict prognosis for patients with liver disease. Indocyanine green (ICG) concentration change is a classic marker to reflect liver function reserve as ICG is selectively taken up and eliminated by liver. Here we proposed a noninvasive approach for LFR assessment based on a real-time photoacoustic tomography (PAT) system. This feasibility study was to detect ICG concentration change by PAT in phantom and in vivo using both normal and partial hepatectomy (PH) rabbits. A linear relationship between photoacoustic signal intensity of ICG and ICG concentration was found in vitro. In vivo ICG concentration change over time after ICG injection was observed by PAT in normal rabbits, which was consistent with the findings measured by invasive spectrophotometry. Finally, clear difference in ICG clearance between the control and PH models was identified by PAT. Taken together, our study indicated the clinical potential of PAT to in vivo evaluate LFR noninvasively.
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Affiliation(s)
- Tingting Qiu
- Department of Medical Ultrasound, Sichuan University West China Hospital, Chengdu, China
| | - Jinge Yang
- School of Optoelectric Engineering, Chongqing University of Posts and Telecommunications, Chongqing 400065, China
| | - Teng Pan
- School of Electronic Science and Engineering (National Exemplary School of Microelectronics), University of Electronic Science and Technology of China, Chengdu 611731, China.,Center for Information in Medicine, University of Electronic and Technology of China, Chengdu 611731, China
| | - Chihan Peng
- Department of Medical Ultrasound, Sichuan University West China Hospital, Chengdu, China
| | - Huabei Jiang
- Department of Medical Engineering, University of South Florida, Tampa 33620, USA
| | - Yan Luo
- Department of Medical Ultrasound, Sichuan University West China Hospital, Chengdu, China
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16
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Hysi E, He X, Fadhel MN, Zhang T, Krizova A, Ordon M, Farcas M, Pace KT, Mintsopoulos V, Lee WL, Kolios MC, Yuen DA. Photoacoustic imaging of kidney fibrosis for assessing pretransplant organ quality. JCI Insight 2020; 5:136995. [PMID: 32298239 DOI: 10.1172/jci.insight.136995] [Citation(s) in RCA: 18] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/10/2020] [Accepted: 04/09/2020] [Indexed: 12/12/2022] Open
Abstract
Roughly 10% of the world's population has chronic kidney disease (CKD). In its advanced stages, CKD greatly increases the risk of hospitalization and death. Although kidney transplantation has revolutionized the care of advanced CKD, clinicians have limited ways of assessing donor kidney quality. Thus, optimal donor kidney-recipient matching cannot be performed, meaning that some patients receive damaged kidneys that function poorly. Fibrosis is a form of chronic damage often present in donor kidneys, and it is an important predictor of future renal function. Currently, no safe, easy-to-perform technique exists that accurately quantifies renal fibrosis. We describe a potentially novel photoacoustic (PA) imaging technique that directly images collagen, the principal component of fibrotic tissue. PA imaging noninvasively quantifies whole kidney fibrotic burden in mice, and cortical fibrosis in pig and human kidneys, with outstanding accuracy and speed. Remarkably, 3-dimensional PA imaging exhibited sufficiently high resolution to capture intrarenal variations in collagen content. We further show that PA imaging can be performed in a setting that mimics human kidney transplantation, suggesting the potential for rapid clinical translation. Taken together, our data suggest that PA collagen imaging is a major advance in fibrosis quantification that could have widespread preclinical and clinical impact.
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Affiliation(s)
- Eno Hysi
- Department of Physics, Ryerson University, Toronto, Canada.,Institute for Biomedical Engineering, Science and Technology (iBEST), a partnership between Ryerson University and St. Michael's Hospital, Toronto, Canada
| | - Xiaolin He
- Institute for Biomedical Engineering, Science and Technology (iBEST), a partnership between Ryerson University and St. Michael's Hospital, Toronto, Canada.,Division of Nephrology, Department of Medicine, St. Michael's Hospital, Unity Health Toronto and University of Toronto, Toronto, Canada.,Keenan Research Centre for Biomedical Science and
| | - Muhannad N Fadhel
- Department of Physics, Ryerson University, Toronto, Canada.,Institute for Biomedical Engineering, Science and Technology (iBEST), a partnership between Ryerson University and St. Michael's Hospital, Toronto, Canada
| | - Tianzhou Zhang
- Division of Nephrology, Department of Medicine, St. Michael's Hospital, Unity Health Toronto and University of Toronto, Toronto, Canada.,Keenan Research Centre for Biomedical Science and
| | - Adriana Krizova
- Keenan Research Centre for Biomedical Science and.,Department of Laboratory Medicine, St. Michael's Hospital, Unity Health Toronto, Toronto, Canada
| | - Michael Ordon
- Keenan Research Centre for Biomedical Science and.,Department of Laboratory Medicine, St. Michael's Hospital, Unity Health Toronto, Toronto, Canada.,Division of Urology, Department of Surgery, St. Michael's Hospital, Unity Health Toronto and University of Toronto, Toronto, Ontario, Canada
| | - Monica Farcas
- Keenan Research Centre for Biomedical Science and.,Department of Laboratory Medicine, St. Michael's Hospital, Unity Health Toronto, Toronto, Canada.,Division of Urology, Department of Surgery, St. Michael's Hospital, Unity Health Toronto and University of Toronto, Toronto, Ontario, Canada
| | - Kenneth T Pace
- Keenan Research Centre for Biomedical Science and.,Department of Laboratory Medicine, St. Michael's Hospital, Unity Health Toronto, Toronto, Canada.,Division of Urology, Department of Surgery, St. Michael's Hospital, Unity Health Toronto and University of Toronto, Toronto, Ontario, Canada
| | - Victoria Mintsopoulos
- Keenan Research Centre for Biomedical Science and.,Interdepartmental Division of Critical Care Medicine, St. Michael's Hospital, University of Toronto, Toronto, Canada
| | - Warren L Lee
- Keenan Research Centre for Biomedical Science and.,Interdepartmental Division of Critical Care Medicine, St. Michael's Hospital, University of Toronto, Toronto, Canada
| | - Michael C Kolios
- Department of Physics, Ryerson University, Toronto, Canada.,Institute for Biomedical Engineering, Science and Technology (iBEST), a partnership between Ryerson University and St. Michael's Hospital, Toronto, Canada
| | - Darren A Yuen
- Institute for Biomedical Engineering, Science and Technology (iBEST), a partnership between Ryerson University and St. Michael's Hospital, Toronto, Canada.,Division of Nephrology, Department of Medicine, St. Michael's Hospital, Unity Health Toronto and University of Toronto, Toronto, Canada.,Keenan Research Centre for Biomedical Science and
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17
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Lu C, Xiong K, Ma Y, Zhang W, Cheng Z, Yang S. Electrothermal-MEMS-induced nonlinear distortion correction in photoacoustic laparoscopy. OPTICS EXPRESS 2020; 28:15300-15313. [PMID: 32403561 DOI: 10.1364/oe.392493] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/11/2020] [Accepted: 04/25/2020] [Indexed: 05/18/2023]
Abstract
Micro-electro-mechanical systems (MEMS) scanner has significant advantages of miniature size, fast response and high stability, which is particularly applicable to photoacoustic laparoscopy (PAL). However, tilt angle-voltage curve of electrothermal MEMS shows a nonlinear character, which leads to inevitable nonlinear distortion in photoacoustic imaging. To overcome this problem, a nonlinear distortion correction was developed for the high-resolution forward-scanning electrothermal-MEMS-based PAL. The adaptive resampling method (ARM) was introduced to adaptively calibrate the projection of non-uniform scanning region to match the uniform scanning region. The correction performed low time complexity and high portability owing to the adaptive capacity of distortion decomposition in the reconstruction of physical models. Compared with the sample structure, phantom experiments demonstrated that the distortion was calibrated in all directions and the corrected image provided up to 96.82% high structural similarity in local subset. Furthermore, ARM was applied to imaging the abdominal cavity of rat and the vascular morphology was corrected in real-time display within a delay less than 2 seconds. All these results demonstrated that the nonlinear distortion correction possessed timely and effective correction in PAL, which suggested that it had the potential to employ to any other electrothermal-MEMS-based photoacoustic imaging systems for accurate and quantitative functional imaging.
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18
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Zhu Y, Johnson LA, Rubin JM, Appelman H, Ni L, Yuan J, Wang X, Higgins PD, Xu G. Strain-Photoacoustic Imaging as a Potential Tool for Characterizing Intestinal Fibrosis. Gastroenterology 2019; 157:1196-1198. [PMID: 31419434 PMCID: PMC6815724 DOI: 10.1053/j.gastro.2019.07.061] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/29/2019] [Revised: 07/14/2019] [Accepted: 07/17/2019] [Indexed: 01/02/2023]
Affiliation(s)
- Yunhao Zhu
- Department of Electronic Science and Engineering, Nanjing University, Nanjing, Jiangsu 21000, China,Department of Biomedical Engineering, University of Michigan, Ann Arbor, Michigan 48109, USA
| | - Laura A. Johnson
- Department of Internal Medicine, University of Michigan Medical School, Ann Arbor, Michigan 48109, USA
| | - Jonathan M. Rubin
- Department of Radiology, University of Michigan Medical School, Ann Arbor, Michigan 48109, USA
| | - Henry Appelman
- Department of Pathology, University of Michigan Medical School, Ann Arbor, Michigan 48109, USA
| | - Linyu Ni
- Department of Biomedical Engineering, University of Michigan, Ann Arbor, Michigan 48109, USA
| | - Jie Yuan
- Department of Electronic Science and Engineering, Nanjing University, Nanjing, Jiangsu 21000, China
| | - Xueding Wang
- Department of Biomedical Engineering, University of Michigan, Ann Arbor, Michigan 48109, USA
| | - Peter D.R. Higgins
- Department of Internal Medicine, University of Michigan Medical School, Ann Arbor, Michigan 48109, USA
| | - Guan Xu
- Department of Radiology, University of Michigan Medical School, Ann Arbor, Michigan.
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