Improve depth reconstruction for Cherenkov-excited luminescence scanned tomography

Di Chang; Jinchao Feng; Zhe Li; Zhonghua Sun; Kebin Jia

doi:10.1117/12.2544888

25 February 2020 Improve depth reconstruction for Cherenkov-excited luminescence scanned tomography

Di Chang, Jinchao Feng, Zhe Li, Zhonghua Sun, Kebin Jia

Proceedings Volume 11224, Optics and Ionizing Radiation; 112240I (2020) https://doi.org/10.1117/12.2544888
Event: SPIE BiOS, 2020, San Francisco, California, United States

Abstract

A spare reconstruction algorithm for Cherenkov-excited luminescence scanned tomography (CELST) is developed to improve quantitative accuracy when luminescent probes locate in deeper tissue. The proposed algorithm incorporates the sparse a priori information of probes into the reconstruction. A fast iterative shrinkage threshold algorithm (FISTA) and 3D block matching (BM3D) algorithm are jointly employed to recover the distribution of luminescent. Numerical simulations demonstrate that the proposed method can result in more accurate quantitative reconstruction and increase depth of detection as compared with conventional Tikhonov based reconstruction algorithm used in CELST.

Citation Download Citation

Di Chang, Jinchao Feng, Zhe Li, Zhonghua Sun, and Kebin Jia "Improve depth reconstruction for Cherenkov-excited luminescence scanned tomography", Proc. SPIE 11224, Optics and Ionizing Radiation, 112240I (25 February 2020); https://doi.org/10.1117/12.2544888

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