• Journal of Innovative Optical Health Sciences
  • Vol. 13, Issue 3, 2030007 (2020)
Tong Wang1, Wen Liu1, and Chao Tian2、3、*
Author Affiliations
  • 1Department of Optics and Optical Engineering, University of Science and Technology of China Hefei, Anhui 230026, P. R. China
  • 2Department of Precision Machinery and Precision Instrumentation, University of Science and Technology of China, Hefei, Anhui 230026, P. R. China
  • 3Key Laboratory of Precision Scientific, Instrumentation of Anhui Higher Education Institutes, University of Science and Technology of China, Hefei, Anhui 230026, P. R. China
  • show less
    DOI: 10.1142/s1793545820300074 Cite this Article
    Tong Wang, Wen Liu, Chao Tian. Combating acoustic heterogeneity in photoacoustic computed tomography: A review[J]. Journal of Innovative Optical Health Sciences, 2020, 13(3): 2030007 Copy Citation Text show less
    References

    [1] L. V. Wang, “Multiscale photoacoustic microscopy and computed tomography, Nat. Photon. 3, 503 (2009).

    [2] L. V. Wang, J. Yao, “A practical guide to photoacoustic tomography in the life sciences," Nat. Meth. 13, 627 (2016).

    [3] L. V. Wang, “Tutorial on photoacoustic microscopy and computed tomography," IEEE J. Sel. Top. Quantum Electron. 14, 171 (2008).

    [4] C. Tian, M. Pei, K. Shen, S. Liu, Z. Hu, T. Feng, “Impact of system factors on the performance of photoacoustic tomography scanners," Phys. Rev. Appl. 13, 014001 (2020).

    [5] L. Lin, P. Hu, J. Shi, C. M. Appleton, K. Maslov, L. Li, R. Zhang, L. V. Wang, “Single-breath-hold photoacoustic computed tomography of the breast," Nat. Commun. 9, 2352 (2018).

    [6] G. P. Luke, S. Y. Emelianov, “Label-free detection of lymph node metastases with US-guided functional photoacoustic imaging," Radiology 277, 435 (2015).

    [7] J. Jo, C. Tian, G. Xu, J. Sarazin, E. Schiopu, G. Gandikota, X. Wang, “Photoacoustic tomography for human musculoskeletal imaging and in-flammatory arthritis detection," Photoacoust. 12, 82 (2018).

    [8] S. Liu, H. Wang, C. Zhang, J. Dong, S. Liu, R. Xu, C. Tian, “In vivo photoacoustic sentinel lymph nodes imaging using clinically-approved carbon nanoparticles," IEEE Trans. Biomed. Eng. (2020).

    [9] H. Wang, S. Liu, T. Wang, C. Zhang, T. Feng, C. Tian, “Three-dimensional interventional photoacoustic imaging for biopsy needle guidance with a linear array transducer," J. Biophoton. 12, e201900212 (2019).

    [10] C. Tian, W. Zhang, A. Mordovanakis, X. Wang, Y. M. Paulus, “Noninvasive chorioretinal imaging in living rabbits using integrated photoacoustic microscopy and optical coherence tomography," Opt. Exp. 25, 15947 (2017).

    [11] C. Tian, W. Qian, X. Shao, Z. Xie, X. Cheng, S. Liu, Q. Cheng, B. Liu, X. Wang, “Plasmonic nanoparticles with quantitatively controlled bioconjugation for photoacoustic imaging of live cancer cells," Adv. Sci. 3, 1600237 (2016).

    [12] C. Tian, Z. Xie, M. L. Fabiilli, X. Wang, “Imaging and sensing based on dual-pulse nonlinear photoacoustic contrast: A preliminary study on fatty liver," Opt. Lett. 40, 2253 (2015).

    [13] M. Xu, L. V. Wang, “Universal back-projection algorithm for photoacoustic computed tomography," Phys. Rev. E 71, 016706 (2005).

    [14] D. Finch, S. K. Patch, “Determining a function from its mean values over a family of spheres," SIAM J. Math. Anal. 35, 1213 (2004).

    [15] L. A. Kunyansky, “Explicit inversion formulae for the spherical mean Radon transform," Inverse Probl. 23, 373 (2007).

    [16] K. Wang, M. A. Anastasio, “A simple Fourier transform-based reconstruction formula for photoacoustic computed tomography with a circular or spherical measurement geometry," Phys.Med. Biol. 57, N493 (2012).

    [17] C. Huang, A. A. Oraevsky, M. A. Anastasio, “Investigation of limited-view image reconstruction in optoacoustic tomography employing a priori structural information," Image Reconstruction from Incomplete Data VI, p. 780004, International Society for Optics and Photonics (2010).

    [18] C. Huang, L. Nie, R. W. Schoonover, Z. Guo, C. O. Schirra, M. A. Anastasio, L. V. Wang, “Aberration correction for transcranial photoacoustic tomography of primates employing adjunct image data," J. Biomed. Opt. 17, 066016 (2012).

    [19] Y. Xu, L. V.Wang, “Effects of acoustic heterogeneity in breast thermoacoustic tomography," IEEE Trans. Ultrason. Ferroelectr. Freq. Control 50, 1134 (2003).

    [20] X. L. Dean-Ben, V. Ntziachristos, D. Razansky, “Effects of small variations of speed of sound in optoacoustic tomographic imaging," Med. Phys. 41, 073301 (2014).

    [21] J. Tick, A. Pulkkinen, T. Tarvainen, “Modelling of errors due to speed of sound variations in photoacoustic tomography using a Bayesian framework," Biomed. Phys. Eng. Exp. 6, 015003 (2019).

    [22] J. Jose, R. G. Willemink, W. Steenbergen, C. H. Slump, T. G. van Leeuwen, S. Manohar, “Speedof-sound compensated photoacoustic tomography for accurate imaging," Med. Phys. 39, 7262 (2012).

    [23] M. A. Anastasio, J. Zhang, X. Pan, Y. Zou, G. Ku, L. V. Wang, “Half-time image reconstruction in thermoacoustic tomography," IEEE Trans. Med. Imaging 24, 199 (2005).

    [24] J. Poudel, T. P. Matthews, L. Li, M. A. Anastasio, L. V. Wang, “Mitigation of artifacts due to isolated acoustic heterogeneities in photoacoustic computed tomography using a variable data truncation-based reconstruction method," J. Biomed. Opt. 22, 041018 (2017).

    [25] B. E. Treeby, T. K. Varslot, E. Z. Zhang, J. G. Laufer, P. C. Beard, “Automatic sound speed selection in photoacoustic image reconstruction using an autofocus approach," J. Biomed. Opt. 16, 090501 (2011).

    [26] C. Yoon, J. Kang, S. Han, Y. Yoo, T.-K. Song, J. H. Chang, “Enhancement of photoacoustic image quality by sound speed correction: ex vivo evaluation," Opt. Exp. 20, 3082 (2012).

    [27] B. Cong, K. Kondo, T. Namita, M. Yamakawa, T. Shiina, “Photoacoustic image quality enhancement by estimating mean sound speed based on optimum focusing," Jpn. J. Appl. Phys. 54, 07HC13 (2015).

    [28] J. Zhang, M. A. Anastasio, “Reconstruction of speed-of-sound and electromagnetic absorption distributions in photoacoustic tomography," Photons Plus Ultrasound: Imaging and Sensing 2006: The Seventh Conf. Biomedical Thermoacoustics, Optoacoustics, and Acousto-optics, p. 608619, International Society for Optics and Photonics (2006).

    [29] T. P. Matthews, J. Poudel, L. Li, L. V. Wang, M. A. Anastasio, “Parameterized joint reconstruction of the initial pressure and sound speed distributions for photoacoustic computed tomography," SIAM J. Imaging Sci. 11, 1560 (2018).

    [30] C. Cai, X. Wang, K. Si, J. Qian, J. Luo, C. Ma, “Feature coupling photoacoustic computed tomography for joint reconstruction of initial pressure and sound speed in vivo," Biomed. Opt. Exp. 10, 3447 (2019).

    [31] X. Jin and L. V. Wang, “Thermoacoustic tomography with correction for acoustic speed variations," Phys. Med. Biol. 51, 6437 (2006).

    [32] S. Manohar, R. G. Willemink, F. van der Heijden, C. H. Slump, T. G. van Leeuwen, “Concomitant speed-of-sound tomography in photoacoustic imaging," Appl. Phys. Lett. 91, 131911 (2007).

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

    [34] E.Mercep, J.L.Herraiz, X.L. Dean-Ben, D. Razansky, “Transmission–reflection optoacoustic ultrasound (TROPUS) computed tomography of small animals," Light. Sci. Appl. 8, 18 (2019).

    [35] S. Liu, Z. Zheng, X. Sun, Z. Zhao, Y. Zheng, H. Jiang, X. Zhu, Q. H. Liu, “Reducing acoustic inhomogeneity based on speed of sound autofocus in microwave induced thermoacoustic tomography," IEEE Trans. Biomed. Eng. (2019).

    [36] Y. Sun, S. Duthaler, B. J. Nelson, “Autofocusing in computer microscopy: Selecting the optimal focus algorithm," Microsc. Res. Tech. 65, 139 (2004).

    [37] D. L. Marks, A. L. Oldenburg, J. J. Reynolds, S. A. Boppart, “Autofocus algorithm for dispersion correction in optical coherence tomography," Appl. Opt. 42, 3038 (2003).

    [38] A. Kingston, A. Sakellariou, A. Sheppard, T. Varslot, S. Latham, “An auto-focus method for generating sharp 3D tomographic images", Developments in X-Ray Tomography VII, p. 78040J, International Society for Optics and Photonics (2010).

    [39] S. Mandal, E. Nasonova, X. L. Dean-Ben, D. Razansky, “Optimal self-calibration of tomographic reconstruction parameters in whole-body small animal optoacoustic imaging," Photoacoust. 2, 128 (2014).

    [40] A. Kirsch, O. Scherzer, “Simultaneous reconstructions of absorption density and wave speed with photoacoustic measurements," SIAM J. Appl. Math. 72, 1508 (2012).

    [41] H. Liu, G. Uhlmann, “Determining both sound speed and internal source in thermo-and photoacoustic tomography," Inverse Probl. 31, 105005 (2015).

    [42] H. Jiang, Z. Yuan, X. Gu, “Spatially varying optical and acoustic property reconstruction using finiteelement-based photoacoustic tomography," JOSA A 23, 878 (2006).

    [43] Z. Yuan, Q. Zhang, H. Jiang, “Simultaneous reconstruction of acoustic and optical properties of heterogeneous media by quantitative photoacoustic tomography," Opt. Exp. 14, 6749 (2006).

    [44] Z. Yuan, H. Jiang, “Three-dimensional finite-elementbased photoacoustic tomography: Reconstruction algorithm and simulations," Med. Phys. 34, 538 (2007).

    [45] G. Chen, X. Wang, J. Wang, Z. Zhao, Z.-P. Nie, Q. H. Liu, “Tr adjoint imaging method for mitat," Prog. Electromagn. Res. 46, 41 (2013).

    [46] T. Ding, K. Ren, S. Vallelian, “A one-step reconstruction algorithm for quantitative photoacoustic imaging," Inverse Probl. 31, 095005 (2015).

    [47] C. Huang, K. Wang, L. Nie, L. V. Wang, M. A. Anastasio, “Full-wave iterative image reconstruction in photoacoustic tomography with acoustically inhomogeneous media," IEEE Trans. Med. Imaging 32, 1097 (2013).

    [48] C. Bunks, F. M. Saleck, S. Zaleski, G. Chavent, “Multiscale seismic waveform inversion," Geophysics 60, 1457 (1995).

    [49] S. J. Norton, “Iterative inverse scattering algorithms: Methods of computing Frechet derivatives," J. Acoust. Soc. Am. 106, 2653 (1999).

    [50] X. Pan, Y. Zou, M. A. Anastasio, “Data redundancy and reduced-scan reconstruction in reflectivity tomography," IEEE Trans. Image Process 12, 784 (2003).

    [51] H. Shan, G. Wang, Y. Yang, “Simultaneous reconstruction of the initial pressure and sound speed in photoacoustic tomography using a deep-learning approach", Novel Optical Systems, Methods, and Applications XXII, p. 1110504, International Society for Optics and Photonics (2019).

    [52] C. Huang, K. Wang, R. W. Schoonover, L. V. Wang, M. A. Anastasio, “Joint reconstruction of absorbed optical energy density and sound speed distributions in photoacoustic computed tomography: a numerical investigation," IEEE Trans. Comput. Imaging 2, 136 (2016).

    [53] P. Stefanov, G. Uhlmann, “Instability of the linearized problem in multiwave tomography of recovery both the source and the speed," Inverse Probl. Imag. 7, 1367 (2013).

    [54] K. S. Hickmann, “Unique determination of acoustic properties from thermoacoustic data" (2010).

    [55] T. P. Matthews, M. A. Anastasio, “Joint reconstruction of the sound speed and initial pressure distributions for ultrasound computed tomography and photoacoustic computed tomography," in Medical Imaging 2017: Ultrasonic Imaging and Tomography, p. 101390B, International Society for Optics and Photonics (2017).

    [56] Y. Hristova, P. Kuchment, L. Nguyen, “Reconstruction and time reversal in thermoacoustic tomography in acoustically homogeneous and inhomogeneous media," Inverse Probl. 24, 055006 (2008).

    [57] Y.Xu, L. V.Wang, “Time reversal and its application to tomography with diffracting sources," Phys. Rev. Lett. 92, 033902 (2004).

    [58] B. E. Treeby, E. Z. Zhang, B. T. Cox, “Photoacoustic tomography in absorbing acoustic media using time reversal," Inverse Probl. 26, 115003 (2010).

    [59] S. R. Arridge, M. M. Betcke, B. T. Cox, F. Lucka, B. E. Treeby, “On the adjoint operator in photoacoustic tomography," Inverse Probl. 32, 115012 (2016).

    [60] J. Qian, P. Stefanov, G. Uhlmann, H. Zhao, “An e±cient Neumann series–based algorithm for thermoacoustic and photoacoustic tomography with variable sound speed," SIAM J. Imaging Sci. 4, 850 (2011).

    [61] P. Stefanov, G. Uhlmann, “Thermoacoustic tomography with variable sound speed," Inverse Probl. 25, 075011 (2009).

    [62] D. Modgil, M. A. Anastasio, P. J. La Rivière, “Image reconstruction in photoacoustic tomography with variable speed of sound using a higher-order geometrical acoustics approximation," J. Biomed. Opt. 15, 021308 (2010).

    [63] M. A. Anastasio, J. Zhang, X. Pan, “Image reconstruction in thermoacoustic tomography with compensation for acoustic heterogeneities," Medical Imaging 2005: Ultrasonic Imaging and Signal Processing, p. 298, International Society for Optics and Photonics (2005).

    [64] X. L. Dean-Ben, V. Ntziachristos, D. Razansky, “Statistical optoacoustic image reconstruction using a-priori knowledge on the location of acoustic distortions," Appl. Phys. Lett. 98, 171110 (2011).

    [65] C. Zhang, Y. Wang, “A reconstruction algorithm for thermoacoustic tomography with compensation for acoustic speed heterogeneity," Phys. Med. Biol. 53, 4971 (2008).

    [66] R. G. Willemink, S. Manohar, J. Jose, K. Slump, F. van der Heijden, T. G. van Leeuwen, “Simultaneous imaging of ultrasound attenuation, speed of sound, and optical absorption in a photoacoustic setup," in Medical Imaging 2009: Ultrasonic Imaging and Signal Processing, p. 72650J, International Society for Optics and Photonics (2009).

    [67] J. Jose, R. G. Willemink, S. Resink, D. Piras, J. G. van Hespen, C. H. Slump, W. Steenbergen, T. G. van Leeuwen, S. Manohar, “Passive element enriched photoacoustic computed tomography (PER PACT) for simultaneous imaging of acoustic propagation properties and light absorption," Opt. Exp. 19, 2093 (2011).

    [68] S. Li, K. Mueller, M. Jackowski, D. P. Dione, L. H. Staib, “Fast marching method to correct for refraction in ultrasound computed tomography," 3rd IEEE Int. Symp. Biomedical Imaging: Nano to Macro, p. 896 IEEE (2006).

    [69] S. Li, K. Mueller, M. Jackowski, D. Dione, L. Staib, “Physical-space refraction-corrected transmission ultrasound computed tomography made computationally practical," Int. Conf. Medical Image Computing and Computer-Assisted Intervention, p. 280, Springer (2008).

    [70] M. Heijblom, D. Piras, W. Xia, J. C. van Hespen, J. Klaase, F. Van den Engh, T. Van Leeuwen, W. Steenbergen, S. Manohar, “Visualizing breast cancer using the Twente photoacoustic mammoscope: What do we learn from twelve new patient measurements?," Opt. Exp. 20, 11582 (2012).

    Tong Wang, Wen Liu, Chao Tian. Combating acoustic heterogeneity in photoacoustic computed tomography: A review[J]. Journal of Innovative Optical Health Sciences, 2020, 13(3): 2030007
    Download Citation