A permissible region extraction based on a knowledge priori for X-ray luminescence computed tomography

作者：Yi, Huangjian; Qu, Xuan; Sun, Yi; Peng, Jinye; Hou, Yuqing; He, Xiaowei^*

来源：Multimedia Systems, 2019, 25(2): 147-154.

DOI：10.1007/s00530-017-0576-3

• X-ray luminescence computed tomography
• Image reconstruction techniques
• Permissible region extraction

X-ray luminescence computed tomography (XLCT) is a promising imaging technology for biological applications. The reconstruction, however, suffers from severe ill-posedness due to the strong scattering of photon propagation in biological tissues. A permissible region (PR) extraction based on a knowledge priori is proposed to alleviate the ill-posedness in this paper. N groups of recovered result with N groups of different discretized mesh have provided N groups of PR for XLCT, which can be considered as a knowledge priori. The intersection of N groups of PR provides a reasonable PR of nanophosphor. With the PR, an improved recovered result can be obtained. Numerical simulation experiments and physical phantom experiments on a cylinder have demonstrated the feasibility and effectiveness of this strategy.

• 出版日期2019-4
• 单位西北大学