Abstract
The development of fast and accurate image reconstruction algorithms under constrained data acquisition conditions 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 reconstructed 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.
© 2023 Optica Publishing Group
Full Article | PDF ArticleMore Like This
Chuangjian Cai, Xuanhao Wang, Ke Si, Jun Qian, Jianwen Luo, and Cheng Ma
Biomed. Opt. Express 10(9) 4803-4814 (2019)
Tong Wang, Menghui He, Kang Shen, Wen Liu, and Chao Tian
Biomed. Opt. Express 13(11) 5721-5737 (2022)
Fangyan Liu, Xiaojing Gong, Lihong V. Wang, Jingjing Guan, Liang Song, and Jing Meng
Biomed. Opt. Express 10(4) 1660-1677 (2019)