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

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Abstract

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.

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Acknowledgements

This work was supported by the National Natural Science Foundation of China under Grant Nos. 61372046, 11571012, 61601363, 61640418, 61601154, the Project funded by China Postdoctoral Science Foundation under Grant No. 2016M602851, the Science and Technology Plan Program in Shaanxi Province of China under Grant No. 2015KW-002, Scientific Research Program Funded by Shaanxi Provincial Education Department under Grant No. 16JK1772. The authors would like to thank the School of Life Science and Technology of Xidian University for providing phantom experimental data.

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  1. School of Information Sciences and Technology, Northwest University, Xi’an, 710027, Shaanxi, China

    Huangjian Yi, Xuan Qu, Yi Sun, Jinye Peng, Yuqing Hou & Xiaowei He

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  1. Huangjian Yi
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  2. Xuan Qu
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Correspondence to Xiaowei He.

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Yi, H., Qu, X., Sun, Y. et al. A permissible region extraction based on a knowledge priori for X-ray luminescence computed tomography. Multimedia Systems 25, 147–154 (2019). https://doi.org/10.1007/s00530-017-0576-3

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