Reconstruction of Photoacoustic Tomography Inside a Scattering Layer Using a Matrix Filtering Method

被引:3
|
作者
Rui, Wei [1 ,2 ]
Liu, Zhipeng [1 ,2 ]
Tao, Chao [3 ]
Liu, Xiaojun [1 ,2 ]
机构
[1] Nanjing Univ, Dept Phys, Key Lab Modern Acoust, Nanjing 210093, Jiangsu, Peoples R China
[2] Nanjing Univ, Collaborat Innovat Ctr Adv Microstruct, Nanjing 210093, Jiangsu, Peoples R China
[3] Nanjing Univ, Shenzhen Res Inst, Shenzhen 51800, Peoples R China
来源
APPLIED SCIENCES-BASEL | 2019年 / 9卷 / 10期
基金
国家重点研发计划; 中国国家自然科学基金;
关键词
photoacoustic imaging; correlation matrix filter; time reversal operator; TIME; OSTEOARTHRITIS;
D O I
10.3390/app9102071
中图分类号
O6 [化学];
学科分类号
0703 ;
摘要
Photoacoustic (PA) tomography (PAT) has potential for use in brain imaging due to its rich optical contrast, high acoustic resolution in deep tissue, and good biosafety. However, the skull often poses challenges for transcranial brain imaging. The skull can cause severe distortion and attenuation of the phase and amplitude of PA waves, which leads to poor resolution, low contrast, and strong noise in the images. In this study, we propose an image reconstruction method to recover the PA image insider a skull-like scattering layer. This method reduces the scattering artifacts by combining a correlation matrix filter and a time reversal operator. Both numerical simulations and PA imaging experiments demonstrate that the proposed approach effectively improves the image quality with less speckle noise and better signal-to-noise ratio. The proposed method may improve the quality of PAT in a complex acoustic scattering environment, such as transcranial brain imaging.
引用
收藏
页数:8
相关论文
共 50 条
  • [1] Accelerated image reconstruction using extrapolated Tikhonov filtering for photoacoustic tomography
    Gutta, Sreedevi
    Kalva, Sandeep Kumar
    Pramanik, Manojit
    Yalavarthy, Phaneendra K.
    MEDICAL PHYSICS, 2018, 45 (08) : 3749 - 3767
  • [2] An Adaptive Focusing Reconstruction Method for Endoscopic Photoacoustic Tomography in Scattering Tissues
    Sun, Zheng
    Jia, Yixuan
    JOURNAL OF MEDICAL IMAGING AND HEALTH INFORMATICS, 2019, 9 (07) : 1423 - 1428
  • [3] Matrix Compression and Compressed Sensing Reconstruction for Photoacoustic Tomography
    Bu, Shuhui
    Liu, Zhenbao
    Shiina, Tsuyoshi
    Fukutani, Kazuhiko
    ELEKTRONIKA IR ELEKTROTECHNIKA, 2012, 18 (09) : 101 - 104
  • [4] Image reconstruction in photoacoustic tomography with heterogeneous media using an iterative method
    Huang, Chao
    Wang, Kun
    Wang, Lihong V.
    Anastasio, Mark A.
    PHOTONS PLUS ULTRASOUND: IMAGING AND SENSING 2013, 2013, 8581
  • [5] Enhancement of objects in photoacoustic tomography using selective filtering
    Shin, Dong-ho
    Yang, Yoonseok
    Song, Chul-Gyu
    BIO-MEDICAL MATERIALS AND ENGINEERING, 2015, 26 : S1223 - S1230
  • [6] GPU accelerated reconstruction in Compton scattering tomography using matrix compression
    Gu, Yufei
    Yan, Bin
    Wang, Biao
    Li, Lei
    Han, Yu
    Xi, Xiaoqi
    COMPUTER AND INFORMATION TECHNOLOGY, 2014, 519-520 : 102 - 107
  • [7] Reconstruction-classification method for quantitative photoacoustic tomography
    Malone, Emma
    Powell, Samuel
    Cox, Ben T.
    Arridge, Simon
    JOURNAL OF BIOMEDICAL OPTICS, 2015, 20 (12)
  • [8] Nonzero Data-Filtering-Based Photoacoustic Image Reconstruction: Both for Microscopy and Tomography
    Paramanick, Arijit
    Samanta, Deepayan
    Singh, Mayanglambam Suheshkumar
    IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT, 2025, 74
  • [9] Simultaneous reconstruction of absorption, scattering and anisotropy factor distributions in quantitative photoacoustic tomography
    Asllanaj, Fatmir
    Addoum, Ahmad
    BIOMEDICAL PHYSICS & ENGINEERING EXPRESS, 2020, 6 (04)
  • [10] A Novel Reconstruction Method with Time Reversal Algorithm and Evaluations for Photoacoustic Tomography
    Lai, Dakun
    Mao, Liang
    Xu, Qi
    Li, Jun
    42ND ANNUAL INTERNATIONAL CONFERENCES OF THE IEEE ENGINEERING IN MEDICINE AND BIOLOGY SOCIETY: ENABLING INNOVATIVE TECHNOLOGIES FOR GLOBAL HEALTHCARE EMBC'20, 2020, : 1923 - 1926