[1] Cho S, Managuli R, Jeon S, et al. Realistic tissue visualization using photoacoustic image[J]. Proceedings of SPIE, 2018, 10494: 1049433.

[2] 谢炳凯, 刘少杰, 吴泳波, 等. 全光非接触光声层析及光学相干层析双模成像[J]. 光学学报, 2016, 36(1): 0111001.

    Xie B K, Liu S J, Wu Y B, et al. Dual mode imaging of all-optical non-contact photoacoustic tomography and optical coherence tomography[J]. Acta Optica Sinica, 2016, 36(1): 0111001.

[3] 张宇, 薛月菊, 贾金亮, 等. 基于相衬解调的实时光声成像系统[J]. 激光与光电子学进展, 2016, 53(7): 071701.

    Zhang Y, Xue Y J, Jia J L, et al. Real-time photoacoustic imaging system based on phase contrast demodulation[J]. Laser & Optoelectronics Progress, 2016, 53(7): 071701.

[4] Wang L V. Prospects of photoacoustic tomography[J]. Medical Physics, 2008, 35(12): 5758-5767.

[5] Zhang E Z, Laufer J G, Pedley R B, et al. In vivo high-resolution 3D photoacoustic imaging of superficial vascular anatomy[J]. Physics in Medicine & Biology, 2009, 54(4): 1035-1046.

[6] Wang X D, Pang Y J, Ku G, et al. Noninvasive laser-induced photoacoustic tomography for structural and functional in vivo imaging of the brain[J]. Nature Biotechnology, 2003, 21(7): 803-806.

[7] Yao D K, Maslov K, Shung K K, et al. In vivo label-free photoacoustic microscopy of cell nuclei by excitation of DNA and RNA[J]. Optics Letters, 2010, 35(24): 4139-4141.

[8] Guo B, Li J, Zmuda H, et al. Multifrequency microwave-induced thermal acoustic imaging for breast cancer detection[J]. IEEE Transactions on Bio-medical Engineering, 2007, 54(11): 2000-2010.

[9] Xu M H, Wang L V. Pulsed-microwave-induced thermoacoustic tomography: filtered backprojection in a circular measurement configuration[J]. Medical Physics, 2002, 29(8): 1661-1669.

[10] Xu M H, Wang L V. Universal back-projection algorithm for photoacoustic computed tomography[J]. Physical Review E, 2005, 71(1): 016706.

[11] Hristova Y, Kuchment P, Nguyen L. Reconstruction and time reversal in thermoacoustic tomography in acoustically homogeneous and inhomogeneous media[J]. Inverse Problems, 2008, 24(5): 055006.

[12] Treeby B E, Zhang E Z, Cox B T. Photoacoustic tomography in absorbing acoustic media using time reversal[J]. Inverse Problems, 2010, 26(11): 115003.

[13] Köstli K P, Beard P C. Two-dimensional photoacoustic imaging by use of Fourier-transform image reconstruction and a detector with an anisotropic response[J]. Applied Optics, 2003, 42(10): 1899-1908.

[14] Guo Z J, Li C H, Song L, et al. Compressed sensing in photoacoustic tomography in vivo[J]. Journal of Biomedical Optics, 2010, 15(2): 021311.

[15] Zhang Y. WangY Y, Zhang C. Total variation based gradient descent algorithm for sparse-view photoacoustic image reconstruction[J]. Ultrasonics, 2012, 52(8): 1046-1055.

[16] Yang J C, Wright J, Huang T S, et al. Image super-resolution via sparse representation[J]. IEEE Transactions on Image Processing, 2010, 19(11): 2861-2873.

[17] YangM, ZhangL, YangJ, et al. Metaface learning for sparse representation based face recognition[C]∥Proceedings of the International Conference on Image Processing, September 26-29, Hong Kong, China. New York: IEEE, 2010: 1601- 1604.

[18] Ravishankar S, Bresler Y. MR image reconstruction from highly undersampled k-space data by dictionary learning[J]. IEEE Transactions on Medical Imaging, 2011, 30(5): 1028-1041.

[19] Xu Q, Yu H Y, Mou X Q, et al. Low-dose X-ray CT reconstruction via dictionary learning[J]. IEEE Transactions on Medical Imaging, 2012, 31(9): 1682-1697.

[20] Zhang H Y, Zhang L Y, Sun Y S, et al. Low dose CT image statistical iterative reconstruction algorithms based on off-line dictionary sparse representation[J]. Optik, 2017, 131: 785-797.

[21] Li S, Cao Q, Chen Y, et al. Dictionary learning based sinogram inpainting for CT sparse reconstruction[J]. Optik, 2014, 125(12): 2862-2867.

[22] Sathyanarayana S, Ning B, Cao R, et al. Dictionary learning-based reverberation removal enables depth-resolved photoacoustic microscopy of cortical microvasculature in the mouse brain[J]. Scientific Reports, 2018, 8(1): 985.

[23] Ul Haq I, Nagaoka R, Siregar S, et al. Sparse-representation-based denoising of photoacoustic images[J]. Biomedical Physics & Engineering Express, 2017, 3(4): 045014.

[24] Elad M. Figueiredo M A T, Ma Y. On therole of sparse and redundant representations in image processing[J]. Proceedings of the IEEE, 2010, 98(6): 972-982.

[25] Elbakri I A, Fessler J A. Statistical image reconstruction for polyenergetic X-ray computed tomography[J]. IEEE Transactions on Medical Imaging, 2002, 21(2): 89-99.

[26] Treeby B E. Cox B T.k-Wave: MATLAB toolbox for the simulation and reconstruction of photoacoustic wave fields[J]. Journal of Biomedical Optics, 2010, 15(2): 021314.

[27] Wang Z, Bovik A C, Sheikh H R, et al. Image quality assessment: from error visibility to structural similarity[J]. IEEE Transactions on Image Processing, 2004, 13(4): 600-612.