Transmission–reflection optoacoustic ultrasound (TROPUS) computed tomography of small animals

Elena Merčep; Joaquín L. Herraiz; Xosé Luís Deán-Ben; Daniel Razansky

doi:10.1038/s41377-019-0130-5

Go to Nature Website

Your Location：

Home >

Browse articles >

Transmission–reflection optoacoustic ultrasound (TROPUS) computed tomography of small animals

Articles

- Transmission–reflection optoacoustic ultrasound (TROPUS) computed tomography of small animals
- Light: Science & Applications Vol. 8, Issue 2, Pages: 249-260(2019)
- Affiliations：
  
  1.Faculty of Medicine, Technical University of Munich, Munich, Germany
  2.iThera Medical GmbH, Munich, Germany
  3.Nuclear Physics Group and UPARCOS, Complutense University of Madrid, CEI Moncloa, Madrid, Spain
  4.Health Research Institute of Hospital Clínico San Carlos (IdISSC), Madrid, Spain
  5.Institute for Biological and Medical Imaging (IBMI), Helmholtz Center Munich, Neuherberg, Germany
  6.Faculty of Medicine and Institute of Pharmacology and Toxicology, University of Zurich, Zurich, Switzerland
  7.Institute for Biomedical Engineering and Department of Information Technology and Electrical Engineering, ETH Zurich, Zurich, Switzerland
- Author bio：
  
  Daniel Razansky (daniel.razansky@uzh.ch)
- Funds：
- DOI：10.1038/s41377-019-0130-5
  CLC：
- Published：2019，
  
  Published Online：30 January 2019，
  
  Received：13 September 2018，
  
  Revised：08 January 2019，
  
  Accepted：12 January 2019
- Accepted：
Scan QR Code
Merčep, E. et al. Transmission–reflection optoacoustic ultrasound (TROPUS) computed tomography of small animals. Light: Science & Applications, 8, 249-260 (2019).
DOI：

Merčep, E. et al. Transmission–reflection optoacoustic ultrasound (TROPUS) computed tomography of small animals. Light: Science & Applications, 8, 249-260 (2019). DOI： 10.1038/s41377-019-0130-5.

摘要

Abstract

Rapid progress in the development of multispectral optoacoustic tomography techniques has enabled unprecedented insights into biological dynamics and molecular processes in vivo and noninvasively at penetration and spatiotemporal scales not covered by modern optical microscopy methods. Ultrasound imaging provides highly complementary information on elastic and functional tissue properties and further aids in enhancing optoacoustic image quality. We devised the first hybrid transmission–reflection optoacoustic ultrasound (TROPUS) small animal imaging platform that combines optoacoustic tomography with both reflection- and transmission-mode ultrasound computed tomography. The system features full-view cross-sectional tomographic imaging geometry for concomitant noninvasive mapping of the absorbed optical energy

acoustic reflectivity

speed of sound

and acoustic attenuation in whole live mice with submillimeter resolution and unrivaled image quality. Graphics-processing unit (GPU)-based algorithms employing spatial compounding and bent-ray-tracing iterative reconstruction were further developed to attain real-time rendering of ultrasound tomography images in the full-ring acquisition geometry. In vivo mouse imaging experiments revealed fine details on the organ parenchyma

vascularization

tissue reflectivity

density

and stiffness. We further used the speed of sound maps retrieved by the transmission ultrasound tomography to improve optoacoustic reconstructions via two-compartment modeling. The newly developed synergistic multimodal combination offers unmatched capabilities for imaging multiple tissue properties and biomarkers with high resolution

penetration

and contrast.

关键词

Keywords

references

Ho, C. J. H., et al. Advances in optoacoustic imaging: from benchside to clinic. InFrontiers in Biophotonics for Translational Medicine: In the Celebration of Year of Light(eds. Olivo, M., Dinish, U.S.) 75-109 (Springer, Singapore, 2016).

Taruttis, A.&Ntziachristos, V. Advances in real-time multispectral optoacoustic imaging and its applications.Nat. Photonics9, 219-227 (2015)..

Deán-Ben, X. L., Fehm, T. F., Ford, S. J., Gottschalk, S.&Razansky, D. Spiral volumetric optoacoustic tomography visualizes multi-scale dynamics in mice.Light Sci. Appl.6, e16247 (2017)..

Fehm, T. F., Deán-Ben, X. L., Ford, S. J.&Razansky, D.In vivowhole-body optoacoustic scanner with real-time volumetric imaging capacity.Optica3, 1153-1159 (2016)..

Merčep, E., Burton, N. C., Claussen, J.&Razansky, D. Whole-body live mouse imaging by hybrid reflection-mode ultrasound and optoacoustic tomography.Opt. Lett.40, 4643-4646 (2015)..

Knieling, F. et al. Multispectral optoacoustic tomography for assessment of Crohn's disease activity.N. Engl. J. Med.376, 1292-1294 (2017)..

Razansky, D., Deliolanis, N. C., Vinegoni, C.&Ntziachristos, V. Deep tissue optical and optoacoustic molecular imaging technologies for pre-clinical research and drug discovery.Curr. Pharm. Biotechnol.13, 504-522 (2012)..

Taruttis, A., van Dam, G. M.&Ntziachristos, V. Mesoscopic and macroscopic optoacoustic imaging of cancer.Cancer Res.75, 1548-1559 (2015)..

Stoffels, I. et al. Metastatic status of sentinel lymph nodes in melanoma determined noninvasively with multispectral optoacoustic imaging.Sci. Transl. Med7, 317ra199 (2015)..

van den Berg, P. J., Daoudi, K., Bernelot Moens, H. J.&Steenbergen, W. Feasibility of photoacoustic/ultrasound imaging of synovitis in finger joints using a point-of-care system.Photoacoustics8, 8-14 (2017)..

He, H. et al. Optoacoustic endoscopy with optical and acoustic resolution. inProc. SPIE 10064, Photons Plus Ultrasound: Imaging and Sensing100641C, 3 March (eds Oraevsky, A. A.&Wang, L. V.) (2017).https://doi.org/10.1117/12.2252313https://doi.org/10.1117/12.2252313..

Ansari, R. et al. All-optical endoscopic probe for high resolution 3D photoacoustictomography, inProc. SPIE 10064, Photons Plus Ultrasound: Imaging and Sensing100641W, 23 March (eds Oraevsky, A. A.&Wang, L. V.) (2017).https://doi.org/10.1117/12.2250617https://doi.org/10.1117/12.2250617.

Greenleaf, J. F., Alizad, A. Measurement of tissue viscoelasticity with ultrasound, inProc. SPIE 10067, Optical Elastography and Tissue Biomechanics IV1006705, 21 February (eds Oraevsky, A. A.&Wang, L. V.) (2017).https://doi.org/10.1117/12.2256842https://doi.org/10.1117/12.2256842.

Klibanov, A. L.&Hossack, J. A. Ultrasound in Radiology: from Anatomic, Functional, Molecular Imaging to Drug Delivery and Image-Guided Therapy. Invest Radiol50, 657-670 (2015).

Deffieux, T., Demene, C., Pernot, M.&Tanter, M. Functional ultrasound neuroimaging: a review of the preclinical and clinical state of the art.Curr. Opin. Neurobiol.50, 128-135 (2018)..

Kastelein, J. J. P.&de Groot, E. Ultrasound imaging techniques for the evaluation of cardiovascular therapies.Eur. Heart J.29, 849-858 (2008)..

Li, M. C., Tang, Y. Q.&Yao, J. J. Photoacoustic tomography of blood oxygenation: a mini review.Photoacoustics10, 65-73 (2018)..

Chung, Y. E.&Kim, K. W. Contrast-enhanced ultrasonography: advance and current status in abdominal imaging.Ultrasonography34, 3-18 (2015)..

Solomon, O., van Sloun, R. J. G., Wijkstra, H., Mischi, M.&Eldar, Y. C. Exploiting flow dynamics for superresolution in contrast-enhanced ultrasound. arXiv: 1804.03134[physics](2018).

Sachs, T. D.&Janney, C. D. A two-beam acoustic system for tissue analysis.Phys. Med. Biol.22, 327-340 (1977)..

Goldstein, A. Slice thickness measurements.J. Ultrasound Med.7, 487-498 (1988)..

Krueger, M., Pesavento, A.&Ermert, H. A modified time-of-flight tomography concept for ultrasonic breast imaging.1996 IEEE Ultrasonics Symposium. Vol. 2, 1381--1385 (Proceedings, San Antonio, TX, USA, 1996).https://doi.org/10.1117/12.2252313https://doi.org/10.1117/12.2252313.

Li, C. P., Duric, N., Littrup, P.&Huang, L. J.In vivobreast sound-speed imaging with ultrasound tomography.Ultrasound Med. Biol.35, 1615-1628 (2009)..

Lenox, M. W. et al. Imaging performance of quantitative transmission ultrasound.Int. J. Biomed. Imaging2015, 454028 (2015)..

Duric, N. WE‐G‐210‐02: ultrasound tomography: a breast imaging modality whose time has come.Med. Phys.42, 3699-3699 (2016)..

Forte, S., Dellas, S., Stieltjes, B.&Bongartz, B. Multimodal ultrasound tomography for breast imaging: a prospective study of clinical feasibility.Eur. Radiol. Exp.1, 27 (2017)..

Oraevsky, A. A. et al. Clinical optoacoustic imaging combined with ultrasound for coregistered functional and anatomical mapping of breast tumors.Photoacoustics12, 30-45 (2018)..

Merčep, E., Jeng, G., Morscher, S., Li, P. C.&Razansky, D. Hybrid optoacoustic tomography and pulse-echo ultrasonography using concave arrays.IEEE Trans. Ultrason. Ferroelectr. Freq. Control62, 1651-1661 (2015)..

Deán-Ben, X. L., Merčep, E.&Razansky, D. Hybrid-array-based optoacoustic and ultrasound (OPUS) imaging of biological tissues.Appl. Phys. Lett.110, 203703 (2017)..

Merčep, E., Deán-Ben, X. L.&Razansky, D. Imaging of blood flow and oxygen state with a multi-segment optoacoustic ultrasound array.Photoacoustics10, 48-53 (2018)..

Yang, J. M. et al. Simultaneous functional photoacoustic and ultrasonic endoscopy of internal organs in vivo.Nat. Med.18, 1297-1302 (2012)..

Dai, X. J. et al. Miniature endoscope for multimodal imaging.ACS Photonics4, 174-180 (2017)..

Tang, J. B.&Jiang, H. B. Single element-based dual focused photoacoustic microscopy.Photonics2, 156-163 (2015)..

Estrada, H. et al. Virtual craniotomy for high-resolution optoacoustic brain microscopy.Sci. Rep.8, 1459 (2018)..

Jose, J. et al. Speed-of-sound compensated photoacoustic tomography for accurate imaging.Med. Phys.39, 7262-7271 (2012)..

Niederhauser, J. J., Jaeger, M., Frenz, M. Comparision of laserinduced and classical ultasound, inProc. SPIE 4960, Biomedical Optoacoustics IV, 1 July (eds Oraevsky, A. A.&Wang, L. V.) (2003).https://doi.org/10.1117/12.483509https://doi.org/10.1117/12.483509.

Oraevsky, A. A., Jacques, S. L., Tittel, F. K. Determination of tissue optical properties by piezoelectric detection of laser-induced stress waves, inProc. SPIE 1882, Laser-Tissue Interaction IV, 7 July (eds Oraevsky, A. A.&Wang, L. V.) (1993).https://doi.org/10.1117/12.147694https://doi.org/10.1117/12.147694.

Li, S. Y. et al. Refraction corrected transmission ultrasound computed tomography for application in breast imaging.Med. Phys.37, 2233-2246 (2010)..

Shi, L. Y.&Alfano, R. R.Deep Imaging in Tissue and Biomedical Materials: Using Linear and Nonlinear Optical Methods.(Pan Stanford Publishing Pte. Ltd., Singapore, 2017).

Handorf, A. M., Zhou, Y., Halanski, M. A.&Li, W. J. Tissue stiffness dictates development, homeostasis, and disease progression.Organogenesis11, 1-15 (2015)..

Deán-Ben, X. L.&Razansky, D. On the link between the speckle free nature of optoacoustics and visibility of structures in limited-view tomography.Photoacoustics4, 133-140 (2016)..

Wells, P. N. T.Biomedical Ultrasonics. (Academic Press, New York, 1977).

Duck, F. A.Physical Properties of Tissues: A Comprehensive Reference Book. (Academic Press, London, 1990).

Ghoshal, G., Luchies, A. C., Blue, J. P.&Oelze, M. L. Temperature dependentultrasonic characterization of biological media.J. Acoust. Soc. Am.130, 2203-2211 (2011)..

Dean-Ben, X. L., Ma, R., Razansky, D.&Ntziachristos, V. Statistical approach for optoacoustic image reconstruction in the presence of strong acoustic heterogeneities.IEEE Trans. Med. Imaging30, 401-408 (2011)..

Heijblom, M. et al. Photoacoustic image patterns of breast carcinoma and comparisons with Magnetic Resonance Imaging and vascular stained histopathology.Sci. Rep.5, 11778 (2015)..

Wang, D. P. et al. Deep tissue photoacoustic computed tomography with a fast and compact laser system.Biomed. Opt. Express8, 112-123 (2016)..

Li, L. et al. Single-impulse panoramic photoacoustic computed tomography of small-animal whole-body dynamics at high spatiotemporal resolution.Nat. Biomed. Eng.1, 0071 (2017)..

Oruganti, T., Laufer, J. G., Treeby, B. E. Vessel filtering of photoacoustic images, inProc. SPIE 8581, Photons Plus Ultrasound: Imaging and Sensing85811W, 4 March (eds Oraevsky, A. A.&Wang, L. V.) (2013).https://doi.org/10.1117/12.2005988https://doi.org/10.1117/12.2005988.

Kim, C., Erpelding, T. N., Jankovic, L., Pashley, M. D.&Wang, L. V. Deeply penetrating in vivo photoacoustic imaging using a clinical ultrasound array system.Biomed. Opt. Express1, 278-284 (2010)..

Calderon, C. et al. Differences in the attenuation of ultrasound by normal, benign, and malignant breast tissue.J. Clin. Ultrasound4, 249-254 (1976)..

Hoyt, K. et al. Tissue elasticity properties as biomarkers for prostate cancer.Cancer Biomark.4, 213-225 (2008)..

Masuzaki, R. et al. Assessing liver tumor stiffness by transient elastography.Hepatol. Int.1, 394-397 (2007)..

Olefir, I., Merčep, E., Burton, N. C., Ovsepian, S. V.&Ntziachristos, V. Hybrid multispectral optoacoustic and ultrasound tomography for morphological and physiological brain imaging.J. Biomed. Opt.21, 086005 (2016)..

Szabo, T. L.Diagnostic Ultrasound Imaging: Inside Out. (Academic Press, Oxford, 2013).

Holm S. Digital beamforming in ultrasound imaging.https://www.researchgate.net/publication/242391444_Digital_Beamforming_in_Ultrasound_Imaginghttps://www.researchgate.net/publication/242391444_Digital_Beamforming_in_Ultrasound_Imaging

Wang, Y. T., Xu, D., Yang, S. H.&Xing, D. Toward in vivo biopsy of melanoma based on photoacoustic and ultrasound dual imaging with an integrated detector.Biomed. Opt. Express7, 279-286 (2016)..

Weber, J., Beard, P. C.&Bohndiek, S. E. Contrast agents for molecular photoacoustic imaging.Nat. Methods13, 639-650 (2016)..

Deliolanis, N. C. et al. Deep-tissue reporter-gene imaging with fluorescence and optoacoustic tomography: a performance overview.Mol. Imaging Biol.16, 652-660 (2014)..

Deán-Ben, X. L. et al. Functional optoacoustic neuro-tomography for scalable whole-brain monitoring of calcium indicators.Light Sci. Appl.5, e16201 (2016)..

Treeby, B. E. Acoustic attenuation compensation in photoacoustic tomography using time-variant filtering.J. Biomed. Opt.18, 036008 (2013)..

Xia, J., Huang, C., Maslov, K., Anastasio, M. A.&Wang, L. V. Enhancement of photoacoustic tomography by ultrasonic computed tomography based on optical excitation of elements of a full-ring transducer array.Opt. Lett.38, 3140-3143 (2013)..

Mandal, S., Deán-Ben, X. L.&Razansky, D. Visual quality enhancement in optoacoustic tomography using active contour segmentation priors.IEEE Trans. Med. Imaging35, 2209-2217 (2016)..

Deán-Ben, X. L., Ntziachristos, V.&Razansky, D. Effects of small variations of speed of sound in optoacoustic tomographic imaging.Med. Phys.41, 073301 (2014)..

Huthwaite, P.&Simonetti, F. A practical, robust approach to high resolution ultrasonic breast tomography.J. Acoust. Soc. Am.135, 2178 (2014)..

Schoonover, R. W.&Anastasio, M. A. Image reconstruction in photoacoustic tomography involving layered acoustic media.J. Opt. Soc. Am. A.28, 1114-1120 (2011)..

Matthews, T. P., Wang, K., Wang, L. V., Anastasio, M. A. Synergistic image reconstruction for hybrid ultrasound and photoacoustic computed tomography, in Proc. SPIE 9323, Photons Plus Ultrasound: Imaging and Sensing 93233A, 11 March (eds Oraevsky, A. A.&Wang, L. V.) (2015).https://doi.org/10.1117/12.2256842https://doi.org/10.1117/12.2256842

Monnin, P. et al. Quantitative characterization of edge enhancement in phase contrast x-ray imaging.Med. Phys.31, 1372-1383 (2004)..

Diot, G. et al. Multispectral optoacoustic tomography (MSOT) of human breast cancer.Clin. Cancer Res.23, 6912-6922 (2017)..

Malik, B., Klock, J., Wiskin, J.&Lenox, M. Objective breast tissue image classification using Quantitative Transmission ultrasound tomography.Sci. Rep.6, 38857 (2016)..

O'Flynn, E. A. M. et al. Ultrasound tomography evaluation of breast density: a comparison with noncontrast magnetic resonance imaging.Invest. Radiol.52, 343-348 (2017)..

Opielinski, K. J.&Gudra, T. Multi-parameter ultrasound transmission tomography of biological media.Ultrasonics44(Suppl), e295-e302 (2006)..

American National Standards Institute.ANSI Z136.1 American National Standard for Safe Use of Lasers. (Laser Institute of America, Orlando, FL, 2007).

Herman, B. A.&Harris, G. R. Models and regulatory considerations for transient temperature rise during diagnostic ultrasound pulses.Ultrasound Med. Biol.28, 1217-1224 (2002)..

Misaridis, T. X. et al. Potential of coded excitation in medical ultrasound imaging.Ultrasonics38, 183-189 (2000)..

Krimholtz, R., Leedom, D. A.&Matthaei, G. L. New equivalent circuits for elementary piezoelectric transducers.Electron Lett.6, 398-399 (1970)..

Marczak, W. Water as a standard in the measurements of speed of sound in liquids.J. Acoust. Soc. Am.102, 2776-2779 (1997)..

Anastasio, M. A. et al. Half-time image reconstruction in thermoacoustic tomography.IEEE Trans. Med. Imaging24, 199-210 (2005)..

Xia, J. et al. Whole-body ring-shaped confocal photoacoustic computed tomography of small animals in vivo.J. Biomed. Opt.17, 050506 (2012)..

Zuiderveld, K. Contrast limited adaptive histogram equalization. InGraphics Gems IV(ed. Heckbert, P. S.) 474-485 (Academic Press Professional, Inc., San Diego, 1994).

Frangi, A. F., Niessen, W. J., Vincken, K. L.&Viergever, M. A. Multiscale vessel enhancement filtering. InMedical Image Computing and Computer-Assisted Intervention(eds. Wells, W. M., Colchester, A. Delp, S.) 130-137 (Springer, Berlin, Heidelberg, 1988).

Jespersen, S. K., Wilhjelm, J. E.&Sillesen, H. Multi-angle compound imaging.Ultrason. Imaging20, 81-102 (1998)..

Kirkhorn, J. Introduction to IQ-demodulation of RF-data.https://21751807/21751807-Introduction-to-iq-demodulation-of-rf-data.htmlhttps://21751807/21751807-Introduction-to-iq-demodulation-of-rf-data.html

Mulla, V. Ultrasound Instrumentation physics. Slideshare.net 2010: 61.https://docplayer.net/21751807-Introduction-to-iq-demodulation-of-rf-data.htmlhttps://docplayer.net/21751807-Introduction-to-iq-demodulation-of-rf-data.html

Li, C. P., Huang, L. J., Duric, N., Zhang, H. J.&Rowe, C. An improved automatic time-of-flight picker for medical ultrasound tomography.Ultrasonics49, 61-72 (2009)..

Kalkan, E. An automaticP‐Phase arrival‐time picker.Bull. Seismol Soc. Am.106, 971-986 (2016)..

Li, C. P., Duric, N.&Huang, L. J. Comparison of ultrasound attenuation tomography methods for breast imaging.Proceedings Volume 6920, Medical Imaging 2008: Ultrasonic Imaging and Signal Processing.(SPIE, San Diego, 2008).

Baer, M.&Kradolfer, U. An automatic phase picker for local and teleseismic events.Bull. Seismol Soc. Am.77, 1437-1445 (1987)..

Hopp, T., Ruiter, N., Bamber, J. C., Duric, N.&van Dongen, W. A.Proceedings of the International Workshop on Medical Ultrasound Tomography: 1. - 3. Nov. 2017, Speyer, Germany. (KIT Scientific Publishing, Karlsruhe, 2018).

Pérez Liva, M.Time domain image reconstruction methods for transmission ultrasound computed tomography. (PhD thesis, University Complutense of Madrid, Madrid, 2017).

Qu, X. L. et al. Computational cost reduction by avoiding ray-linking iteration in bent-ray method for sound speed image reconstruction in ultrasound computed tomography.Jpn. J. Appl. Phys.56, 07JF14 (2017)..

Bettinardi, V. et al. Implementation and evaluation of a 3D one-step late reconstruction algorithm for 3D positron emission tomography brain studies using median root prior.Eur. J. Nucl. Med. Mol. Imaging29, 7-18 (2002)..

Zell, K., Sperl, J. I., Vogel, M. W., Niessner, R.&Haisch, C. Acoustical properties of selected tissue phantom materials for ultrasound imaging.Phys. Med. Biol.52, N475-N484 (2007)..

Smith, S. W.Digital Signal Processing: A Practical Guide for Engineers and Scientists. (Newnes, New York, 2013).

Views

Downloads

CSCD

Alert me when the article has been cited

Submit

Tools

Publicity Resources

No data

Related Author

No data

Related Institution

No data

⁰