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Proceedings Paper • new

Robust sparse reconstruction for Cherenkov luminescence tomography based on look ahead orthogonal matching pursuit algorithm
Author(s): Meishan Cai; Zeyu Zhang; Zhenhua Hu; Jie Tian
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Paper Abstract

Cherenkov luminescence tomography (CLT) has become a novel three-dimensional (3D) non-invasive technology for biomedical applications such as tumor detection, pharmacodynamics evaluation, etc. However, the reconstruction of CLT still remains a challenging task because of the strong absorbing effect and scattering effect of Cherenkov photon transport process. In this study, we proposed a novel robust sparse reconstruction method named look ahead orthogonal matching pursuit (LAOMP) algorithm to improve the robustness and accuracy of reconstruction for CLT instead of traditional OMP algorithm based on a look ahead strategy. To validate the reconstruction performance of LAOMP method, a series of numerical simulations were conducted. The results showed that LAOMP method obtained the higher robustness and accuracy in locating the optical sources compared with the OMP and StOMP algorithms.

Paper Details

Date Published: 27 February 2019
PDF: 6 pages
Proc. SPIE 10871, Multimodal Biomedical Imaging XIV, 1087114 (27 February 2019); doi: 10.1117/12.2509062
Show Author Affiliations
Meishan Cai, Institute of Automation (China)
Univ. of Chinese Academy of Sciences (China)
Zeyu Zhang, Institute of Automation (China)
Zhenhua Hu, Institute of Automation (China)
Univ. of Chinese Academy of Sciences (China)
Jie Tian, Institute of Automation (China)
Univ. of Chinese Academy of Sciences (China)
Xidian Univ. (China)


Published in SPIE Proceedings Vol. 10871:
Multimodal Biomedical Imaging XIV
Fred S. Azar; Xavier Intes; Qianqian Fang, Editor(s)

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