Citation: | MENG Qi, SUN Zheng. Solutions to inhomogeneous and unstable illumination in biological photoacoustic tomography[J].Chinese Optics, 2021, 14(2): 307-319.doi:10.37188/CO.2020-0142 |
[1] |
WANG L V, YAO J J. A practical guide to photoacoustic tomography in the life sciences[J].
Nature Methods, 2016, 13(8): 627-638.
doi:10.1038/nmeth.3925
|
[2] |
DELAZEROA A, PAULUS Y M, TEED R,
et al. Photoacoustic ocular imaging[J].
Optics Letters, 2010, 35(3): 270-272.
doi:10.1364/OL.35.000270
|
[3] |
LI JW, XIAO H, YOON S J,
et al. Functional photoacoustic imaging of gastric acid secretion using pH-responsive polyaniline nanoprobes[J].
Small, 2016, 12(34): 4690-4696.
doi:10.1002/smll.201601359
|
[4] |
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.
doi:10.1038/nbt839
|
[5] |
ISKANDER-RIZK S, VAN DER STEEN A F W, VAN SOEST G. Photoacoustic imaging for guidance of interventions in cardiovascular medicine[J].
Physics in Medicine&
Biology, 2019, 64(16): 16TR01.
|
[6] |
POUDEL J, LOU Y, ANASTASIO M A. A survey of computational frameworks for solving the acoustic inverse problem in three-dimensional photoacoustic computed tomography[J].
Physics in Medicine&
Biology, 2019, 64(14): 14TR01.
|
[7] |
SPADIN F, JAEGER M, NUSTER R,
et al. Quantitative comparison of frequency-domain and delay-and-sum optoacoustic image reconstruction including the effect of coherence factor weighting[J].
Photoacoustics, 2020, 17: 100149.
doi:10.1016/j.pacs.2019.100149
|
[8] |
WANG B, WEI N N, PENG K,
et al. Modified back-projection method in acoustic resolution based photoacoustic endoscopy for improved lateral resolution[J].
Medical Physics, 2018, 45(10): 4430-4438.
doi:10.1002/mp.13129
|
[9] |
ZHENG S, HAN D D, YUAN Y. 2-D image reconstruction of photoacoustic endoscopic imaging based on time-reversal[J].
Computers in Biology and Medicine, 2016, 76: 60-68.
doi:10.1016/j.compbiomed.2016.06.028
|
[10] |
WANG K, ANASTASIO M A. A simple Fourier transform-based reconstruction formula for photoacoustic computed tomography with a circular or spherical measurement geometry[J].
Physics in Medicine&
Biology, 2012, 57(23): N493-499.
|
[11] |
COX B T, LAUFER J G, BEARD P C,
et al. Quantitative spectroscopic photoacoustic imaging: a review[J].
Journal of Biomedical Optics, 2012, 17(6): 061202.
doi:10.1117/1.JBO.17.6.061202
|
[12] |
JAVAHERIAN A, HOLMAN S. Direct quantitative photoacoustic tomography for realistic acoustic media[J].
Inverse Problems, 2019, 35: 084004.
doi:10.1088/1361-6420/ab091e
|
[13] |
林剑萍, 廖一鹏. 结合分数阶微分及Retinex的NSCT自适应低照度图像增强[J]. 液晶与显示,2020,35(4):360-373.
doi:10.3788/YJYXS20203504.0360
LIN J P, LIAO Y P. NSCT adaptive low illumination image enhancement combining fractional differential and retinex[J].
Chinese Journal of Liquid Crystals and Displays, 2020, 35(4): 360-373. (in Chinese)
doi:10.3788/YJYXS20203504.0360
|
[14] |
COX B T, ARRIDGE S R, KÖSTLI K P,
et al. Two-dimensional quantitative photoacoustic image reconstruction of absorption distributions in scattering media by use of a simple iterative method[J].
Applied Optics, 2006, 45(8): 1866-1875.
doi:10.1364/AO.45.001866
|
[15] |
ROSENTHAL A, RAZANSKY D, NTZIACHRISTOS V. Quantitative optoacoustic signal extraction using sparse signal representation[J].
IEEE Transactions on Medical Imaging, 2009, 28(12): 1997-2006.
doi:10.1109/TMI.2009.2027116
|
[16] |
BU SH H, LIU ZH B, SHIINA T,
et al. Model-based reconstruction integrated with fluence compensation for photoacoustic tomography[J].
IEEE Transactions on Biomedical Engineering, 2012, 59(5): 1354-1363.
doi:10.1109/TBME.2012.2187649
|
[17] |
DORAN A E, HIRATA S. Monte Carlo second- and third-order many-body green’s function methods with frequency-dependent, nondiagonal self-energy[J].
Journal of Chemical Theory and Computation, 2019, 15(11): 6097-6110.
doi:10.1021/acs.jctc.9b00693
|
[18] |
邓衍亚, 李伟伟, 林继, 等. 三维高频声波的矩阵压缩边界节点法模拟[J]. 力学季刊,2019,40(1):32-38.
DENG Y Y, LI W W, LIN J,
et al. Simulation of three-dimensional high frequency acoustic wave by matrix compression boundary node method[J].
Chinese Quarterly of Mechanics, 2019, 40(1): 32-38. (in Chinese)
|
[19] |
DEÁN-BEN X L, STIEL A C, JIANG YY,
et al. Light fluence normalization in turbid tissues via temporally unmixed multispectral optoacoustic tomography[J].
Optics Letters, 2015, 40(20): 4691-4694.
doi:10.1364/OL.40.004691
|
[20] |
HUSSAIN A, PETERSEN W, STALEY J,
et al. Quantitative blood oxygen saturation imaging using combined photoacoustics and acousto-optics[J].
Optics Letters, 2016, 41(8): 1720-1723.
doi:10.1364/OL.41.001720
|
[21] |
MIZEVA I, DREMIN V, POTAPOVA E,
et al. Wavelet analysis of the temporal dynamics of the laser speckle contrast in human skin[J].
IEEE Transactions on Bio-medical Engineering, 2020, 67(7): 1882-1889.
|
[22] |
钱伟, 蒋明. 数字图像相关方法中数字散斑场的制作与应用研究[J]. 液晶与显示,2020,35(8):861-869.
doi:10.37188/YJYXS20203508.0861
QIAN W, JIANG M. Design and application of digital speckle patterns in digital image correlation method[J].
Chinese Journal of Liquid Crystals and Displays, 2020, 35(8): 861-869. (in Chinese)
doi:10.37188/YJYXS20203508.0861
|
[23] |
ZHAO L Y, YANG M, JIANG Y X,
et al. Optical fluence compensation for handheld photoacoustic probe: an in vivo human study case[J].
Journal of Innovative Optical Health Sciences, 2017, 10(4): 1740002.
doi:10.1142/S1793545817400028
|
[24] |
JIN H R, ZHANG R C, LIU Y,
et al. A single sensor dual-modality photoacoustic fusion imaging for compensation of light fluence variation[J].
IEEE Transactions on Biomedical Engineering, 2019, 66(6): 1810-1813.
doi:10.1109/TBME.2019.2904502
|
[25] |
JIN H R, ZHANG R C, LIU Y,
et al. Passive ultrasound aided acoustic resolution photoacoustic microscopy imaging for layered heterogeneous media[J].
Applied Physics Letters, 2018, 113(24): 241901.
doi:10.1063/1.5064417
|
[26] |
MOOTHANCHERY M, BI R ZH, KIM J Y,
et al. Optical resolution photoacoustic microscopy based on multimode fibers[J].
Biomedical Optics Express, 2018, 9(3): 1190-1197.
doi:10.1364/BOE.9.001190
|
[27] |
MOOTHANCHERY M, DEV K, BALASUNDARAM G,
et al. Acoustic resolution photoacoustic microscopy based on microelectromechanical systems scanner[J].
Journal of Biophotonics, 2020, 13(2): e201960127.
|
[28] |
BAUER A Q, NOTHDURFT RE, CULVER JF,
et al. Quantitative photoacoustic imaging: correcting for heterogeneous light fluence distributions using diffuse optical tomography[J].
Journal of Biomedical Optics,
|
[29] |
MAHMOODKALAYEH S, ZAREI M, ANSARI M A,
et al. Improving vascular imaging with co-planar mutually guided photoacoustic and diffuse optical tomography: a simulation study[J].
Biomedical Optics Express, 2020, 11(8): 4333-4347.
doi:10.1364/BOE.385017
|
[30] |
DAOUDI K, MOLENAAR R, VANLEEUWEN T G,
et al. Absolute measurement of absorption coefficient by combining photoacoustics and acousto-optics[C].
Proceedings of SPIE International Conference on Photons Plus Ultrasound: Imaging and Sensing 2011, 2011, 7899: 78990V.
|
[31] |
DAOUDI K, HUSSAIN A, HONDEBRINK E,
et al. Correcting photoacoustic signals for fluence variations using acousto-optic modulation[J].
Optics Express, 2012, 20(13): 14117-14129.
doi:10.1364/OE.20.014117
|
[32] |
HUSSAIN A, DAOUDI K, HONDEBRINK E,
et al.. Quantitative photoacoustic imaging by acousto-optically measured light fluence[C].
In Biomedical Optics and 3-D Imaging, OSA Technical Digest (Optical Society of America, 2012), OSA, 2012.
|
[33] |
STEENBERGEN W, MOLENAAR R, DAOUDI K. Combined application of photoacoustic and acousto-optic imaging for model-free quantitative optical absorption mapping[J].
The Journal of the Acoustical Society of America, 2011, 129(4): 2641.
|
[34] |
STEENBERGEN W. Towards quantitative imaging of absorption coefficients in turbid media by combining photoacoustic and acousto-optic imaging[C].
Biomedical Optics and 3-D Imaging, OSA Technical Digest (CD) (Optical Society of America, 2010), 2010.
|
[35] |
NYKÄNEN O, PULKKINEN A, TARVAINEN T. Quantitative photoacoustic tomography augmented with surface light measurements[J].
Biomedical Optics Express, 2017, 8(10): 4380-4395.
doi:10.1364/BOE.8.004380
|
[36] |
LOU Y, NADVORETSKIY V, WANG K,
et al.. Effect of rotating partial illumination on image reconstruction for optoacoustic breast tomography[J].
Proceedings of SPIE, 2015, 9323: 93233L.
|
[37] |
LOU Y, WANG K, ORAEVSKY A A,
et al. Impact of nonstationary optical illumination on image reconstruction in optoacoustic tomography[J].
Journal of the Optical Society of America A, 2016, 33(12): 2333-2347.
|
[38] |
PARK S, ORAEVSKY A A, SU R,
et al.. Compensation for non-uniform illumination and optical fluence attenuation in three-dimensional optoacoustic tomography of the breast[J].
Proceedings of SPIE, 2019, 10878: 108784X.
|
[39] |
YU J, JUNG Y, KANG J,
et al.Enhancement of photoacoustic signal using a novel light illumination improvement device: in vivo feasibility animal study[C].
Proceedings of 2014 IEEE International Ultrasonics Symposium, Chicago, IL, USA, 3-6 Sept. 2014: 349-352.
|
[40] |
YU J, SCHUMAN J S, LEE J K,
et al. A light illumination enhancement device for photoacoustic imaging: in vivo animal study[J].
IEEE Transactions on Ultrasonics,
Ferroelectrics,
and Frequency Control, 2017, 64(8): 1205-1211.
doi:10.1109/TUFFC.2017.2713599
|
[41] |
LARNEY B M, REBLING J, CHEN ZH Y,
et al. Uniform light delivery in volumetric optoacoustic tomography[J].
Journal of Biophotonics, 2019, 12(6): e201800387.
|
[42] |
LI M C, LAN B X, LIU W,
et al. Internal-illumination photoacoustic computed tomography[J].
Journal of Biomedical Optics, 2018, 23(3): 1-4.
|
[43] |
JOHNSTONBAUGH K, AGRAWAL S, ABHISHEK D,
et al.. Novel deep learning architecture for optical fluence dependent photoacoustic target localization[J].
Proceedings of SPIE, 2019, 10878: 108781L.
|
[44] |
HARIRI A, ALIPOUR K, MANTRI Y,
et al. Deep learning improves contrast in low-fluence photoacoustic imaging[J].
Biomedical Optics Express, 2020, 11(6): 3360-3373.
doi:10.1364/BOE.395683
|
[45] |
CHEN T T, LU T, SONG SH Z,
et al.. A deep learning method based on U-Net for quantitative photoacoustic imaging[J].
Proceedings of SPIE, 2020, 11240: 112403V.
|
[46] |
GORE J C. Artificial intelligence in medical imaging[J].
Magnetic Resonance Imaging, 2020, 68: A1-A4.
doi:10.1016/j.mri.2019.12.006
|
[47] |
王慧, 冯金顺, 程正兴. 基于局部路径特征信息神经网络的图像去噪[J]. 液晶与显示,2020,35(1):70-79.
doi:10.3788/YJYXS20203501.0070
WANG H, FENG J SH, CHENG ZH X. Image denoising based on local path feature in formation neural network[J].
Chinese Journal of Liquid Crystals and Displays, 2020, 35(1): 70-79. (in Chinese)
doi:10.3788/YJYXS20203501.0070
|