Streak artifact suppressed back projection for sparse-view photoacoustic computed tomography

被引:3
|
作者
Wang, Tong [1 ]
Chen, Chenyang [2 ,3 ]
Shen, Kang [3 ]
Liu, Wen [1 ]
Tian, Chao [2 ,3 ]
机构
[1] Univ Sci & Technol China, Sch Phys Sci, Hefei 230026, Anhui, Peoples R China
[2] Hefei Comprehens Natl Sci Ctr, Inst Artificial Intelligence, Hefei 230088, Anhui, Peoples R China
[3] Univ Sci & Technol China, Sch Engn Sci, Hefei, Anhui, Peoples R China
基金
中国国家自然科学基金;
关键词
RECONSTRUCTION; ALGORITHM;
D O I
10.1364/AO.487957
中图分类号
O43 [光学];
学科分类号
070207 ; 0803 ;
摘要
The development of fast and accurate image reconstruction algorithms under constrained data acquisition condi-tions is important for photoacoustic computed tomography (PACT). Sparse-view measurements have been used to accelerate data acquisition and reduce system complexity; however, reconstructed images suffer from sparsity -induced streak artifacts. In this paper, a modified back-projection (BP) method termed anti-streak BP is proposed to suppress streak artifacts in sparse-view PACT reconstruction. During the reconstruction process, the anti-streak BP finds the back-projection terms contaminated by high-intensity sources with an outlier detection method. Then, the weights of the contaminated back-projection terms are adaptively adjusted to eliminate the effects of high-intensity sources. The proposed anti-streak BP method is compared with the conventional BP method on both simulation and in vivo data. The anti-streak BP method shows substantially fewer artifacts in the recon-structed images, and the streak index is 54% and 20% lower than that of the conventional BP method on simulation and in vivo data, when the transducer number N = 128. The anti-streak BP method is a powerful improvement of the BP method with the ability of artifact suppression.(c) 2023 Optica Publishing Group
引用
收藏
页码:3917 / 3925
页数:9
相关论文
共 50 条
  • [21] Sparse-view photoacoustic tomography using virtual parallel-projections and spatially adaptive filtering
    Wang, Yihan
    Lu, Tong
    Wan, Wenbo
    Liu, Lingling
    Zhang, Songhe
    Li, Jiao
    Zhao, Huijuan
    Gao, Feng
    PHOTONS PLUS ULTRASOUND: IMAGING AND SENSING 2018, 2018, 10494
  • [22] Mud-Net: multi-domain deep unrolling network for simultaneous sparse-view and metal artifact reduction in computed tomography
    Shi, Baoshun
    Jiang, Ke
    Zhang, Shaolei
    Lian, Qiusheng
    Qin, Yanwei
    Zhao, Yunsong
    MACHINE LEARNING-SCIENCE AND TECHNOLOGY, 2024, 5 (01):
  • [23] Sparse-view reconstruction for photoacoustic tomography combining diffusion model with model-based iteration
    Song, Xianlin
    Wang, Guijun
    Zhong, Wenhua
    Guo, Kangjun
    Li, Zilong
    Liu, Xuan
    Dong, Jiaqing
    Liu, Qiegen
    PHOTOACOUSTICS, 2023, 33
  • [24] Sparse-View Computed Tomography Reconstruction Using an Improved Non-Local Means
    Chen, Z. J.
    Qi, H. L.
    Jin, Y.
    Guo, J. Y.
    Zhou, L. H.
    JOURNAL OF MEDICAL IMAGING AND HEALTH INFORMATICS, 2015, 5 (08) : 1910 - 1914
  • [25] Enhancing sparse-view photoacoustic tomography with combined virtually parallel projecting and spatially adaptive filtering
    Wang, Yihan
    Lu, Tong
    Li, Jiao
    Wan, Wenbo
    Ma, Wenjuan
    Zhang, Limin
    Zhou, Zhongxing
    Jiang, Jingying
    Zhao, Huijuan
    Gao, Feng
    BIOMEDICAL OPTICS EXPRESS, 2018, 9 (09): : 4569 - 4587
  • [26] Unsupervised disentanglement strategy for mitigating artifact in photoacoustic tomography under extremely sparse view
    Zhong, Wenhua
    Li, Tianle
    Hou, Shangkun
    Zhang, Hongyu
    Li, Zilong
    Wang, Guijun
    Liu, Qiegen
    Song, Xianlin
    PHOTOACOUSTICS, 2024, 38
  • [27] Sparse-view neutron-photon computed tomography: Object reconstruction and material discrimination
    Yazdanpanah, Ali Pour
    Hartman, Jessica
    Regentova, Emma
    Barzilov, Alexander
    APPLIED RADIATION AND ISOTOPES, 2018, 132 : 122 - 128
  • [28] A Compressed Sensing Algorithm for Sparse-view Pinhole Single Photon Emission Computed Tomography
    Wolf, Paul A.
    Sidky, Emil Y.
    Schmidt, Taly Gilat
    2011 IEEE NUCLEAR SCIENCE SYMPOSIUM AND MEDICAL IMAGING CONFERENCE (NSS/MIC), 2011, : 2668 - 2671
  • [29] Image Reconstruction using Self-Prior Information for Sparse-View Computed Tomography
    Selim, Mona
    Rashed, Essam A.
    Atiea, Mohammed A.
    Kudo, Hiroyuki
    2018 9TH CAIRO INTERNATIONAL BIOMEDICAL ENGINEERING CONFERENCE (CIBEC), 2018, : 146 - 149
  • [30] Learning Projection Views for Sparse-View CT Reconstruction
    Yang, Liutao
    Ge, Rongjun
    Feng, Shichang
    Zhang, Daoqiang
    PROCEEDINGS OF THE 30TH ACM INTERNATIONAL CONFERENCE ON MULTIMEDIA, MM 2022, 2022, : 2645 - 2653