Abstract
X-ray luminescence computed tomography (XLCT) has become an emerging hybrid molecular imaging technology with high detection sensitivity and low cost. However, the inverse problem of reconstruction has severe ill-posed consequences. The original regularization algorithm needs to take much time to solve the problem. To reduce the cost of time, a three-term conjugate gradient (TTCG) algorithm is proposed for XLCT. Useful truncation information is added to the descent direction to find the optimal solution quickly in our proposed algorithm. Both numerical simulation experiments and real experiments are carried out to verify the performance of the algorithm. Experimental results show that the presented algorithm can effectively speed up the reconstruction process.
© 2021 Optical Society of America
Full Article | PDF ArticleMore Like This
Tianshuai Liu, Junyan Rong, Peng Gao, Huangsheng Pu, Wenli Zhang, Xiaofeng Zhang, Zhengrong Liang, and Hongbing Lu
Biomed. Opt. Express 10(1) 1-17 (2019)
Yi Chen, Mengfei Du, Gege Zhang, Jun Zhang, Kang Li, Linzhi Su, Fengjun Zhao, Huangjian Yi, and Xin Cao
Opt. Express 31(15) 24845-24861 (2023)
Dongmei Chen, Shouping Zhu, Xu Cao, Fengjun Zhao, and Jimin Liang
Biomed. Opt. Express 6(7) 2649-2663 (2015)