Image reconstruction in photoacoustic tomography with variable speed of sound using a higher-order geometrical acoustics approximation

被引:0
|
作者
Modgil, Dimple [1 ]
Anastasio, Mark A.
Wang, Kun
La Riviere, Patrick J. [1 ]
机构
[1] Univ Chicago, Dept Radiol, Chicago, IL 60637 USA
关键词
Optoacoustic tomography; photoacoustic tomography; thermoacoustic tomography; image reconstruction; variable speed of sound; inhomogeneous; travel times; geometrical acoustics;
D O I
10.1117/12.809001
中图分类号
O43 [光学];
学科分类号
070207 ; 0803 ;
摘要
Previous research correcting for variable speed of sound in photoacoustic tomography (PAT) has used a generalized radon transform (GRT) model. In this model, the pressure is related to the optical absorption, in an acoustically inhomogeneous medium, through integration over non-spherical isochronous surfaces. This model assumes that the path taken by acoustic rays is linear and neglects amplitude perturbations to the measured pressure. We have derived a higher-order geometrical acoustics (GA) expression, which takes into account the first-order effect in the amplitude of the measured signal and higher-order perturbation to the travel times. The higher-order perturbation to travel time incorporates the effect of ray bending. Incorrect travel times can lead to image distortion and blurring. These corrections are expected to impact image quality and quantitative PAT. We have previously shown that travel-time corrections in 2D suggest that perceivable differences in the isochronous surfaces can be seen when the second-order travel-time perturbations are taken into account with a 10% speed of sound variation. In this work, we develop iterative image reconstruction algorithms that incorporate this higher-order GA approximation assuming that the speed of sound map is known. We evaluate the effect of higher-order GA approximation on image quality and accuracy.
引用
收藏
页数:8
相关论文
共 50 条
  • [1] Image reconstruction in photoacoustic tomography with variable speed of sound using a higher-order geometrical acoustics approximation
    Modgil, Dimple
    Anastasio, Mark A.
    La Riviere, Patrick J.
    [J]. JOURNAL OF BIOMEDICAL OPTICS, 2010, 15 (02)
  • [2] A framework for directional and higher-order reconstruction in photoacoustic tomography
    Boink, Yoeri E.
    Lagerwerf, Marinus J.
    Steenbergen, Wiendelt
    van Gils, Stephan A.
    Manohar, Srirang
    Brune, Christoph
    [J]. PHYSICS IN MEDICINE AND BIOLOGY, 2018, 63 (04):
  • [3] NONLINEAR ACOUSTICS IN HIGHER-ORDER APPROXIMATION
    QIAN, ZW
    [J]. ACTA PHYSICA SINICA-OVERSEAS EDITION, 1995, 4 (09): : 670 - 675
  • [4] Nonlinear acoustics in higher-order approximation: Comment
    Mitri F.G.
    [J]. IEEE Transactions on Ultrasonics, Ferroelectrics, and Frequency Control, 2010, 57 (08) : 1715 - 1716
  • [5] Uniqueness of reconstruction and an inversion procedure for thermoacoustic and photoacoustic tomography with variable sound speed
    Agranovsky, Mark
    Kuchment, Peter
    [J]. INVERSE PROBLEMS, 2007, 23 (05) : 2089 - 2102
  • [6] An image reconstruction method for endoscopic photoacoustic tomography in tissues with heterogeneous sound speed
    Sun Zheng
    Jia Yixuan
    [J]. COMPUTERS IN BIOLOGY AND MEDICINE, 2019, 110 : 15 - 28
  • [7] Automatic Speed of Sound Correction with Photoacoustic Image Reconstruction
    Ye, Meng
    Cao, Meng
    Feng, Ting
    Yuan, Jie
    Cheng, Qian
    Liu, Xiaojun
    Xu, Guan
    Wang, Xueding
    [J]. PHOTONS PLUS ULTRASOUND: IMAGING AND SENSING 2016, 2016, 9708
  • [8] VARIATIONAL ITERATIVE ALGORITHMS IN PHOTOACOUSTIC TOMOGRAPHY WITH VARIABLE SOUND SPEED
    Lv, Tangjie
    Zhou, Tie
    [J]. JOURNAL OF COMPUTATIONAL MATHEMATICS, 2014, 32 (05) : 579 - 600
  • [9] Full Field Inversion in Photoacoustic Tomography with Variable Sound Speed
    Zangerl, Gerhard
    Haltmeier, Markus
    Nguyen, Linh V.
    Nuster, Robert
    [J]. APPLIED SCIENCES-BASEL, 2019, 9 (08):
  • [10] Analysis of Iterative Methods in Photoacoustic Tomography with Variable Sound Speed
    Haltmeier, Markus
    Nguyen, Linh V.
    [J]. SIAM JOURNAL ON IMAGING SCIENCES, 2017, 10 (02): : 751 - 781