On iterative algorithms for quantitative photoacoustic tomography in the radiative transport regime

被引:4
|
作者
Wang, Chao [1 ]
Zhou, Tie [1 ]
机构
[1] Peking Univ, Sch Math Sci, Beijing, Peoples R China
关键词
quantitative photoacoustic tomography; improved fixed-point iteration; radiative transfer equation; Barzilai-Borwein method; RECONSTRUCTION; DISTRIBUTIONS;
D O I
10.1088/1361-6420/aa89c5
中图分类号
O29 [应用数学];
学科分类号
070104 ;
摘要
In this paper, we present a numerical reconstruction method for quantitative photoacoustic tomography (QPAT), based on the radiative transfer equation (RTE), which models light propagation more accurately than diffusion approximation (DA). We investigate the reconstruction of absorption coefficient and scattering coefficient of biological tissues. An improved fixed-point iterative method to retrieve the absorption coefficient, given the scattering coefficient, is proposed for its cheap computational cost; the convergence of this method is also proved. The Barzilai-Borwein (BB) method is applied to retrieve two coefficients simultaneously. Since the reconstruction of optical coefficients involves the solutions of original and adjoint RTEs in the framework of optimization, an efficient solver with high accuracy is developed from Gao and Zhao (2009 Transp. Theory Stat. Phys. 38 149-92). Simulation experiments illustrate that the improved fixed-point iterative method and the BB method are competitive methods for QPAT in the relevant cases.
引用
收藏
页数:25
相关论文
共 50 条
  • [31] ANALYSIS OF THE LINEARIZED PROBLEM OF QUANTITATIVE PHOTOACOUSTIC TOMOGRAPHY
    Haltmeier, Markus
    Neumann, Lukas
    Linh Nguyen
    Rabanser, Simon
    SIAM JOURNAL ON APPLIED MATHEMATICS, 2018, 78 (01) : 457 - 478
  • [32] A Bayesian approach to spectral quantitative photoacoustic tomography
    Pulkkinen, A.
    Cox, B. T.
    Arridge, S. R.
    Kaipio, J. P.
    Tarvainen, T.
    INVERSE PROBLEMS, 2014, 30 (06)
  • [33] Quantitative photoacoustic tomography with multiple optical sources
    Zemp, Roger J.
    APPLIED OPTICS, 2010, 49 (18) : 3566 - 3572
  • [34] Bayesian Image Reconstruction in Quantitative Photoacoustic Tomography
    Tarvainen, Tanja
    Pulkkinen, Aki
    Cox, Ben T.
    Kaipio, Jari P.
    Arridge, Simon R.
    IEEE TRANSACTIONS ON MEDICAL IMAGING, 2013, 32 (12) : 2287 - 2298
  • [35] QUANTITATIVE PHOTOACOUSTIC TOMOGRAPHY WITH VARIABLE INDEX OF REFRACTION
    Patrolia, Lee
    INVERSE PROBLEMS AND IMAGING, 2013, 7 (01) : 253 - 265
  • [36] Exploiting statistical independence for quantitative photoacoustic tomography
    An, Lu
    Saratoon, Teedah
    Fonseca, Martina
    Ellwood, Robert
    Cox, Ben
    PHOTONS PLUS ULTRASOUND: IMAGING AND SENSING 2017, 2017, 10064
  • [37] Quantitative multispectral photoacoustic tomography and wavelength optimization
    Xiao, Jiaying
    Yuan, Zhen
    He, Jishan
    Jiang, Huabei
    JOURNAL OF X-RAY SCIENCE AND TECHNOLOGY, 2010, 18 (04) : 415 - 427
  • [38] Adaptive and Quantitative Reconstruction Algorithm for Photoacoustic Tomography
    Bu, Shuhui
    Kondo, Kengo
    Yamakawa, Makoto
    Shiina, Tsuyoshi
    Fukutani, Kazuhiko
    Someda, Yasuhiro
    Asao, Yasufumi
    PHOTONS PLUS ULTRASOUND: IMAGING AND SENSING 2011, 2011, 7899
  • [39] Multispectral reconstruction methods for quantitative photoacoustic tomography
    Malone, Emma
    Cox, Ben
    Arridge, Simon
    PHOTONS PLUS ULTRASOUND: IMAGING AND SENSING 2016, 2016, 9708
  • [40] Quantitative analysis in medicine using photoacoustic tomography
    Haisch, Christoph
    ANALYTICAL AND BIOANALYTICAL CHEMISTRY, 2009, 393 (02) : 473 - 479