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Journal articles on the topic 'Optoacoustic tomography Imaging'

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1

Bell, Gavin, Ghayathri Balasundaram, Amalina Binte Ebrahim Attia, Francesca Mandino, Malini Olivo, and Ivan P. Parkin. "Functionalised iron oxide nanoparticles for multimodal optoacoustic and magnetic resonance imaging." Journal of Materials Chemistry B 7, no. 13 (2019): 2212–19. http://dx.doi.org/10.1039/c8tb02299b.

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The synthesis of iron oxide (Fe3O4) nanoparticles conjugated with an optoacoustic molecule to give multimodal imaging of magnetic resonance imaging (MRI) and multispectral optoacoustic tomography (MSOT).
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JETZFELLNER, THOMAS, and VASILIS NTZIACHRISTOS. "PERFORMANCE OF BLIND DECONVOLUTION IN OPTOACOUSTIC TOMOGRAPHY." Journal of Innovative Optical Health Sciences 04, no. 04 (October 2011): 385–93. http://dx.doi.org/10.1142/s1793545811001691.

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In this paper, we consider the use of blind deconvolution for optoacoustic (photoacoustic) imaging and investigate the performance of the method as means for increasing the resolution of the reconstructed image beyond the physical restrictions of the system. The method is demonstrated with optoacoustic measurement obtained from six-day-old mice, imaged in the near-infrared using a broadband hydrophone in a circular scanning configuration. We find that estimates of the unknown point spread function, achieved by blind deconvolution, improve the resolution and contrast in the images and show promise for enhancing optoacoustic images.
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Gujrati, Vipul, Anurag Mishra, and Vasilis Ntziachristos. "Molecular imaging probes for multi-spectral optoacoustic tomography." Chemical Communications 53, no. 34 (2017): 4653–72. http://dx.doi.org/10.1039/c6cc09421j.

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4

Wang, Xueding, Xinmai Yang, and Xose Luis Dean-Ben. "Special Issue on Photoacoustic Tomography." Applied Sciences 9, no. 19 (October 8, 2019): 4186. http://dx.doi.org/10.3390/app9194186.

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5

Dima, Alexander, and Vasilis Ntziachristos. "Non-invasive carotid imaging using optoacoustic tomography." Optics Express 20, no. 22 (October 18, 2012): 25044. http://dx.doi.org/10.1364/oe.20.025044.

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Ron, Avihai, Neda Davoudi, Xosé Luís Deán-Ben, and Daniel Razansky. "Self-Gated Respiratory Motion Rejection for Optoacoustic Tomography." Applied Sciences 9, no. 13 (July 6, 2019): 2737. http://dx.doi.org/10.3390/app9132737.

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Respiratory motion in living organisms is known to result in image blurring and loss of resolution, chiefly due to the lengthy acquisition times of the corresponding image acquisition methods. Optoacoustic tomography can effectively eliminate in vivo motion artifacts due to its inherent capacity for collecting image data from the entire imaged region following a single nanoseconds-duration laser pulse. However, multi-frame image analysis is often essential in applications relying on spectroscopic data acquisition or for scanning-based systems. Thereby, efficient methods to correct for image distortions due to motion are imperative. Herein, we demonstrate that efficient motion rejection in optoacoustic tomography can readily be accomplished by frame clustering during image acquisition, thus averting excessive data acquisition and post-processing. The algorithm’s efficiency for two- and three-dimensional imaging was validated with experimental whole-body mouse data acquired by spiral volumetric optoacoustic tomography (SVOT) and full-ring cross-sectional imaging scanners.
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7

Tzoumas, Stratis, and Vasilis Ntziachristos. "Spectral unmixing techniques for optoacoustic imaging of tissue pathophysiology." Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences 375, no. 2107 (October 16, 2017): 20170262. http://dx.doi.org/10.1098/rsta.2017.0262.

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A key feature of optoacoustic imaging is the ability to illuminate tissue at multiple wavelengths and therefore record images with a spectral dimension. While optoacoustic images at single wavelengths reveal morphological features, in analogy to ultrasound imaging or X-ray imaging, spectral imaging concedes sensing of intrinsic chromophores and externally administered agents that can reveal physiological, cellular and subcellular functions. Nevertheless, identification of spectral moieties within images obtained at multiple wavelengths requires spectral unmixing techniques, which present a unique mathematical problem given the three-dimensional nature of the optoacoustic images. Herein we discuss progress with spectral unmixing techniques developed for multispectral optoacoustic tomography. We explain how different techniques are required for accurate sensing of intrinsic tissue chromophores such as oxygenated and deoxygenated haemoglobin versus extrinsically administered photo-absorbing agents and nanoparticles. Finally, we review recent developments that allow accurate quantification of blood oxygen saturation (sO 2 ) by transforming and solving the sO 2 estimation problem from the spatial to the spectral domain. This article is part of the themed issue ‘Challenges for chemistry in molecular imaging’.
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8

Bhutiani, Neal, William E. Grizzle, Susan Galandiuk, Denis Otali, Gerald W. Dryden, Nejat K. Egilmez, and Lacey R. McNally. "Noninvasive Imaging of Colitis Using Multispectral Optoacoustic Tomography." Journal of Nuclear Medicine 58, no. 6 (December 1, 2016): 1009–12. http://dx.doi.org/10.2967/jnumed.116.184705.

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9

Tzoumas, Stratis, Angelika Zaremba, Uwe Klemm, Antonio Nunes, Karin Schaefer, and Vasilis Ntziachristos. "Immune cell imaging using multi-spectral optoacoustic tomography." Optics Letters 39, no. 12 (June 9, 2014): 3523. http://dx.doi.org/10.1364/ol.39.003523.

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10

Wagner, Alexandra L., Vera Danko, Anna Federle, Daniel Klett, David Simon, Rafael Heiss, Jörg Jüngert, et al. "Precision of handheld multispectral optoacoustic tomography for muscle imaging." Photoacoustics 21 (March 2021): 100220. http://dx.doi.org/10.1016/j.pacs.2020.100220.

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11

Ntziachristos, Vasilis. "Revolutionizing biomedical optical imaging with multispectral optoacoustic tomography (MSOT)." Toxicology Letters 221 (August 2013): S51. http://dx.doi.org/10.1016/j.toxlet.2013.06.187.

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12

Herzog, Eva, Adrian Taruttis, Nicolas Beziere, Andrey A. Lutich, Daniel Razansky, and Vasilis Ntziachristos. "Optical Imaging of Cancer Heterogeneity with Multispectral Optoacoustic Tomography." Radiology 263, no. 2 (May 2012): 461–68. http://dx.doi.org/10.1148/radiol.11111646.

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13

Ntziachristos, Vasilis, and Daniel Razansky. "Molecular Imaging by Means of Multispectral Optoacoustic Tomography (MSOT)." Chemical Reviews 110, no. 5 (May 12, 2010): 2783–94. http://dx.doi.org/10.1021/cr9002566.

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14

Ivankovic, Ivana, Xosé Luís Déan-Ben, Helena Haas, Melanie A. Kimm, Moritz Wildgruber, and Daniel Razansky. "Volumetric Optoacoustic Tomography Differentiates Myocardial Remodelling." Molecular Imaging and Biology 22, no. 5 (May 11, 2020): 1235–43. http://dx.doi.org/10.1007/s11307-020-01498-5.

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15

Weissleder, Ralph, and Matthias Nahrendorf. "Advancing biomedical imaging." Proceedings of the National Academy of Sciences 112, no. 47 (November 24, 2015): 14424–28. http://dx.doi.org/10.1073/pnas.1508524112.

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Imaging reveals complex structures and dynamic interactive processes, located deep inside the body, that are otherwise difficult to decipher. Numerous imaging modalities harness every last inch of the energy spectrum. Clinical modalities include magnetic resonance imaging (MRI), X-ray computed tomography (CT), ultrasound, and light-based methods [endoscopy and optical coherence tomography (OCT)]. Research modalities include various light microscopy techniques (confocal, multiphoton, total internal reflection, superresolution fluorescence microscopy), electron microscopy, mass spectrometry imaging, fluorescence tomography, bioluminescence, variations of OCT, and optoacoustic imaging, among a few others. Although clinical imaging and research microscopy are often isolated from one another, we argue that their combination and integration is not only informative but also essential to discovering new biology and interpreting clinical datasets in which signals invariably originate from hundreds to thousands of cells per voxel.
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16

Rosenthal, Amir, Vasilis Ntziachristos, and Daniel Razansky. "Acoustic Inversion in Optoacoustic Tomography: A Review." Current Medical Imaging Reviews 9, no. 4 (January 31, 2014): 318–36. http://dx.doi.org/10.2174/15734056113096660006.

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17

Taruttis, Adrian, Neus Lozano, Antonio Nunes, Dhifaf A. Jasim, Nicolas Beziere, Eva Herzog, Kostas Kostarelos, and Vasilis Ntziachristos. "siRNA liposome-gold nanorod vectors for multispectral optoacoustic tomography theranostics." Nanoscale 6, no. 22 (2014): 13451–56. http://dx.doi.org/10.1039/c4nr04164j.

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18

Razansky, Daniel, Claudio Vinegoni, and Vasilis Ntziachristos. "Imaging of mesoscopic-scale organisms using selective-plane optoacoustic tomography." Physics in Medicine and Biology 54, no. 9 (April 15, 2009): 2769–77. http://dx.doi.org/10.1088/0031-9155/54/9/012.

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19

Li, Hongtong, Ivana Ivankovic, Jiao Li, Daniel Razansky, and Xosé Luís Deán-Ben. "Coregistration and Spatial Compounding of Optoacoustic Cardiac Images via Fourier Analysis of Four-Dimensional Data." Applied Sciences 10, no. 18 (September 9, 2020): 6254. http://dx.doi.org/10.3390/app10186254.

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Volumetric optoacoustic tomography has been shown to provide unprecedented capabilities for ultrafast imaging of cardiovascular dynamics in mice. Three-dimensional imaging rates in the order of 100 Hz have been achieved, which enabled the visualization of transient cardiac events such as arrhythmias or contrast agent perfusion without the need for retrospective gating. The fast murine heart rates (400–600 beats per minute) yet impose limitations when it comes to compounding of multiple frames or accurate registration of multi-spectral data. Herein, we investigate on the capabilities of Fourier analysis of four-dimensional data for coregistration of independent volumetric optoacoustic image sequences of the heart. The fundamental frequencies and higher harmonics of respiratory and cardiac cycles could clearly be distinguished, which facilitated efficient retrospective gating without additional readings. The performance of the suggested methodology was successfully demonstrated by compounding cardiac images acquired by raster-scanning of a spherical transducer array as well as by unmixing of oxygenated and deoxygenated hemoglobin from multi-spectral optoacoustic data.
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20

Ma, Rui, Martin Distel, X. Luís Deán-Ben, Vasilis Ntziachristos, and Daniel Razansky. "Non-invasive whole-body imaging of adult zebrafish with optoacoustic tomography." Physics in Medicine and Biology 57, no. 22 (October 17, 2012): 7227–37. http://dx.doi.org/10.1088/0031-9155/57/22/7227.

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21

Reshetnyak, Yana K. "Imaging Tumor Acidity: pH-Low Insertion Peptide Probe for Optoacoustic Tomography." Clinical Cancer Research 21, no. 20 (July 29, 2015): 4502–4. http://dx.doi.org/10.1158/1078-0432.ccr-15-1502.

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22

Waldner, Maximilian J., Ferdinand Knieling, Cornelia Egger, Stefan Morscher, Jing Claussen, Marcel Vetter, Christian Kielisch, et al. "Multispectral Optoacoustic Tomography in Crohn’s Disease: Noninvasive Imaging of Disease Activity." Gastroenterology 151, no. 2 (August 2016): 238–40. http://dx.doi.org/10.1053/j.gastro.2016.05.047.

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23

Ma, Rui, Adrian Taruttis, Vasilis Ntziachristos, and Daniel Razansky. "Multispectral optoacoustic tomography (MSOT) scanner for whole-body small animal imaging." Optics Express 17, no. 24 (November 9, 2009): 21414. http://dx.doi.org/10.1364/oe.17.021414.

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24

Mohajerani, Pouyan, Stephan Kellnberger, and Vasilis Ntziachristos. "Frequency domain optoacoustic tomography using amplitude and phase." Photoacoustics 2, no. 3 (September 2014): 111–18. http://dx.doi.org/10.1016/j.pacs.2014.06.002.

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25

Joseph, James, Michal R. Tomaszewski, Isabel Quiros-Gonzalez, Judith Weber, Joanna Brunker, and Sarah E. Bohndiek. "Evaluation of Precision in Optoacoustic Tomography for Preclinical Imaging in Living Subjects." Journal of Nuclear Medicine 58, no. 5 (January 26, 2017): 807–14. http://dx.doi.org/10.2967/jnumed.116.182311.

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26

Driessen, W., S. Morscher, N. C. Burton, T. Sardella, D. Razansky, and V. Ntziachristos. "236: Novel approaches for dynamic biomarker imaging by multispectral optoacoustic tomography (MSOT)." European Journal of Cancer 50 (July 2014): S55. http://dx.doi.org/10.1016/s0959-8049(14)50207-9.

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27

Olefir, Ivan, Elena Mercep, Neal C. Burton, Saak V. Ovsepian, and Vasilis Ntziachristos. "Hybrid multispectral optoacoustic and ultrasound tomography for morphological and physiological brain imaging." Journal of Biomedical Optics 21, no. 8 (August 12, 2016): 086005. http://dx.doi.org/10.1117/1.jbo.21.8.086005.

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28

Bahauddin, Ammar, and Peter Panizzi. "Deep tissue imaging of B16 melanoma in mice by Multispectral Optoacoustic Tomography." FASEB Journal 34, S1 (April 2020): 1. http://dx.doi.org/10.1096/fasebj.2020.34.s1.03979.

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29

Wang, Kun, Sergey A. Ermilov, Richard Su, Hans-Peter Brecht, Alexander A. Oraevsky, and Mark A. Anastasio. "An Imaging Model Incorporating Ultrasonic Transducer Properties for Three-Dimensional Optoacoustic Tomography." IEEE Transactions on Medical Imaging 30, no. 2 (February 2011): 203–14. http://dx.doi.org/10.1109/tmi.2010.2072514.

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30

Luís Deán-Ben, Xosé, and Daniel Razansky. "Adding fifth dimension to optoacoustic imaging: volumetric time-resolved spectrally enriched tomography." Light: Science & Applications 3, no. 1 (January 2014): e137-e137. http://dx.doi.org/10.1038/lsa.2014.18.

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31

Morscher, Stefan, Wouter H. P. Driessen, Jing Claussen, and Neal C. Burton. "Semi-quantitative Multispectral Optoacoustic Tomography (MSOT) for volumetric PK imaging of gastric emptying." Photoacoustics 2, no. 3 (September 2014): 103–10. http://dx.doi.org/10.1016/j.pacs.2014.06.001.

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32

Shah, Anant, Nigel Bush, Gary Box, Suzanne Eccles, and Jeffrey Bamber. "Value of combining dynamic contrast enhanced ultrasound and optoacoustic tomography for hypoxia imaging." Photoacoustics 8 (December 2017): 15–27. http://dx.doi.org/10.1016/j.pacs.2017.08.001.

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33

Ren, Wuwei, Hlynur Skulason, Felix Schlegel, Markus Rudin, Jan Klohs, and Ruiqing Ni. "Automated registration of magnetic resonance imaging and optoacoustic tomography data for experimental studies." Neurophotonics 6, no. 02 (April 3, 2019): 1. http://dx.doi.org/10.1117/1.nph.6.2.025001.

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34

Hudson, Shanice V., Justin S. Huang, Wenyuan Yin, Sabrin Albeituni, Jamie Rush, Anil Khanal, Jun Yan, Brian P. Ceresa, Hermann B. Frieboes, and Lacey R. McNally. "Targeted Noninvasive Imaging of EGFR-Expressing Orthotopic Pancreatic Cancer Using Multispectral Optoacoustic Tomography." Cancer Research 74, no. 21 (September 12, 2014): 6271–79. http://dx.doi.org/10.1158/0008-5472.can-14-1656.

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Razansky, Daniel. "Volumetric multi-spectral optoacoustic tomography for high performance structural, functional, and molecular imaging." Journal of the Acoustical Society of America 140, no. 4 (October 2016): 2978–79. http://dx.doi.org/10.1121/1.4969221.

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36

MacCuaig, William M., Meredith A. Jones, Oshaani Abeyakoon, and Lacey R. McNally. "Development of Multispectral Optoacoustic Tomography as a Clinically Translatable Modality for Cancer Imaging." Radiology: Imaging Cancer 2, no. 6 (November 1, 2020): e200066. http://dx.doi.org/10.1148/rycan.2020200066.

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37

Wang, Kun, Robert W. Schoonover, Richard Su, Alexander Oraevsky, and Mark A. Anastasio. "Discrete Imaging Models for Three-Dimensional Optoacoustic Tomography Using Radially Symmetric Expansion Functions." IEEE Transactions on Medical Imaging 33, no. 5 (May 2014): 1180–93. http://dx.doi.org/10.1109/tmi.2014.2308478.

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38

Merčep, Elena, Neal C. Burton, Jing Claussen, and Daniel Razansky. "Whole-body live mouse imaging by hybrid reflection-mode ultrasound and optoacoustic tomography." Optics Letters 40, no. 20 (October 8, 2015): 4643. http://dx.doi.org/10.1364/ol.40.004643.

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39

Deliolanis, Nikolaos C., Angelique Ale, Stefan Morscher, Neal C. Burton, Karin Schaefer, Karin Radrich, Daniel Razansky, and Vasilis Ntziachristos. "Deep-Tissue Reporter-Gene Imaging with Fluorescence and Optoacoustic Tomography: A Performance Overview." Molecular Imaging and Biology 16, no. 5 (March 8, 2014): 652–60. http://dx.doi.org/10.1007/s11307-014-0728-1.

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40

Minhas, Atul S., Jack Sharkey, Edward A. Randtke, Patricia Murray, Bettina Wilm, Mark D. Pagel, and Harish Poptani. "Measuring Kidney Perfusion, pH, and Renal Clearance Consecutively Using MRI and Multispectral Optoacoustic Tomography." Molecular Imaging and Biology 22, no. 3 (September 16, 2019): 494–503. http://dx.doi.org/10.1007/s11307-019-01429-z.

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Abstract Purpose: To establish multi-modal imaging for the assessment of kidney pH, perfusion, and clearance rate using magnetic resonance imaging (MRI) and multispectral optoacoustic tomography (MSOT) in healthy mice. Kidney pH and perfusion values were measured on a pixel-by-pixel basis using the MRI acidoCEST and FAIR-EPI methods. Kidney filtration rate was measured by analyzing the renal clearance rate of IRdye 800 using MSOT. To test the effect of one imaging method on the other, a set of 3 animals were imaged with MSOT followed by MRI, and a second set of 3 animals were imaged with MRI followed by MSOT. In a subsequent study, the reproducibility of pH, perfusion, and renal clearance measurements were tested by imaging 4 animals twice, separated by 4 days. The contrast agents used for acidoCEST based pH measurements influenced the results of MSOT. Specifically, the exponential decay time from the kidney cortex, as measured by MSOT, was significantly altered when MRI was performed prior to MSOT. However, no significant difference in the cortex to pelvis area under the curve (AUC) was noted. When the order of experiments was reversed, no significant differences were noted in the pH or perfusion values. Reproducibility measurements demonstrated similar pH and cortex to pelvis AUC; however, perfusion values were significantly different with the cortex values being higher and the pelvic values being lower in the second imaging time. We demonstrate that using a combination of MRI and MSOT, physiological measurements of pH, blood flow, and clearance rates can be measured in the mouse kidney in the same imaging session.
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41

Steinkamp, Pieter J., Jasper Vonk, Lydian A. Huisman, Gert-Jan Meersma, Gilles F. H. Diercks, Jan-Luuk Hillebrands, Wouter B. Nagengast, et al. "VEGF-Targeted Multispectral Optoacoustic Tomography and Fluorescence Molecular Imaging in Human Carotid Atherosclerotic Plaques." Diagnostics 11, no. 7 (July 7, 2021): 1227. http://dx.doi.org/10.3390/diagnostics11071227.

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Vulnerable atherosclerotic carotid plaques are prone to rupture, resulting in ischemic strokes. In contrast to radiological imaging techniques, molecular imaging techniques have the potential to assess plaque vulnerability by visualizing diseases-specific biomarkers. A risk factor for rupture is intra-plaque neovascularization, which is characterized by overexpression of vascular endothelial growth factor-A (VEGF-A). Here, we study if administration of bevacizumab-800CW, a near-infrared tracer targeting VEGF-A, is safe and if molecular assessment of atherosclerotic carotid plaques in vivo is possible using multispectral optoacoustic tomography (MSOT). Healthy volunteers and patients with symptomatic carotid artery stenosis scheduled for carotid artery endarterectomy were imaged with MSOT. Secondly, patients were imaged two days after intravenous administration of 4.5 bevacizumab-800CW. Ex vivo fluorescence molecular imaging of the surgically removed plaque specimen was performed and correlated with histopathology. In this first-in-human MSOT and fluorescence molecular imaging study, we show that administration of 4.5 mg bevacizumab-800CW appeared to be safe in five patients and accumulated in the carotid atherosclerotic plaque. Although we could visualize the carotid bifurcation area in all subjects using MSOT, bevacizumab-800CW-resolved signal could not be detected with MSOT in the patients. Future studies should evaluate tracer safety, higher doses of bevacizumab-800CW or develop dedicated contrast agents for carotid atherosclerotic plaque assessment using MSOT.
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42

Wang, Kun, Richard Su, Alexander A. Oraevsky, and Mark A. Anastasio. "Investigation of iterative image reconstruction in three-dimensional optoacoustic tomography." Physics in Medicine and Biology 57, no. 17 (August 3, 2012): 5399–423. http://dx.doi.org/10.1088/0031-9155/57/17/5399.

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Ding, Lu, X. Luís Deán-Ben, Christian Lutzweiler, Daniel Razansky, and Vasilis Ntziachristos. "Efficient non-negative constrained model-based inversion in optoacoustic tomography." Physics in Medicine and Biology 60, no. 17 (August 21, 2015): 6733–50. http://dx.doi.org/10.1088/0031-9155/60/17/6733.

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44

O’Kelly, Devin, Yihang Guo, and Ralph P. Mason. "Evaluating online filtering algorithms to enhance dynamic multispectral optoacoustic tomography." Photoacoustics 19 (September 2020): 100184. http://dx.doi.org/10.1016/j.pacs.2020.100184.

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Gehrung, Marcel, Michal Tomaszewski, Dominick McIntyre, Jonathan Disselhorst, and Sarah Bohndiek. "Co-registration of optoacoustic tomography and magnetic resonance imaging data from murine tumour models." Photoacoustics 18 (June 2020): 100147. http://dx.doi.org/10.1016/j.pacs.2019.100147.

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46

Lutzweiler, Christian, and Daniel Razansky. "Optoacoustic Imaging and Tomography: Reconstruction Approaches and Outstanding Challenges in Image Performance and Quantification." Sensors 13, no. 6 (June 4, 2013): 7345–84. http://dx.doi.org/10.3390/s130607345.

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47

Stiel, Andre C., Xosé Luís Deán-Ben, Yuanyuan Jiang, Vasilis Ntziachristos, Daniel Razansky, and Gil G. Westmeyer. "High-contrast imaging of reversibly switchable fluorescent proteins via temporally unmixed multispectral optoacoustic tomography." Optics Letters 40, no. 3 (January 27, 2015): 367. http://dx.doi.org/10.1364/ol.40.000367.

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48

Taruttis, Adrian, Eva Herzog, Daniel Razansky, and Vasilis Ntziachristos. "Real-time imaging of cardiovascular dynamics and circulating gold nanorods with multispectral optoacoustic tomography." Optics Express 18, no. 19 (August 31, 2010): 19592. http://dx.doi.org/10.1364/oe.18.019592.

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49

Roll, Wolfgang, Niklas A. Markwardt, Max Masthoff, Anne Helfen, Jing Claussen, Michel Eisenblätter, Alexa Hasenbach, et al. "Multispectral Optoacoustic Tomography of Benign and Malignant Thyroid Disorders: A Pilot Study." Journal of Nuclear Medicine 60, no. 10 (March 8, 2019): 1461–66. http://dx.doi.org/10.2967/jnumed.118.222174.

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50

Dutta, Rahul, Subhamoy Mandal, Hsiao-Chun Amy Lin, Tal Raz, Alexander Kind, Angelika Schnieke, and Daniel Razansky. "Brilliant cresyl blue enhanced optoacoustic imaging enables non-destructive imaging of mammalian ovarian follicles for artificial reproduction." Journal of The Royal Society Interface 17, no. 172 (November 2020): 20200776. http://dx.doi.org/10.1098/rsif.2020.0776.

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In the field of reproductive biology, there is a strong need for a suitable tool capable of non-destructive evaluation of oocyte viability and function. We studied the application of brilliant cresyl blue (BCB) as an intra-vital exogenous contrast agent using multispectral optoacoustic tomography (MSOT) for visualization of porcine ovarian follicles. The technique provided excellent molecular sensitivity, enabling the selection of competent oocytes without disrupting the follicles. We further conducted in vitro embryo culture, molecular analysis (real-time and reverse transcriptase polymerase chain reaction) and DNA fragmentation analysis to comprehensively establish the safety of BCB-enhanced MSOT imaging in monitoring oocyte viability. Overall, the experimental results suggest that the method offers a significant advance in the use of contrast agents and molecular imaging for reproductive studies. Our technique improves the accurate prediction of ovarian reserve significantly and, once standardized for in vivo imaging, could provide an effective tool for clinical infertility management.
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