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Proceedings Paper

Improve depth reconstruction for Cherenkov-excited luminescence scanned tomography
Author(s): Di Chang; Jinchao Feng; Zhe Li; Zhonghua Sun; Kebin Jia
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Paper 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.

Paper Details

Date Published: 25 February 2020
PDF: 9 pages
Proc. SPIE 11224, Optics and Ionizing Radiation, 112240I (25 February 2020); doi: 10.1117/12.2544888
Show Author Affiliations
Di Chang, Beijing Univ. of Technology (China)
Beijing Lab. of Advanced Information Network (China)
Jinchao Feng, Beijing Univ. of Technology (China)
Beijing Lab. of Advanced Information Network (China)
Zhe Li, Beijing Univ. of Technology (China)
Beijing Lab. of Advanced Information Network (China)
Zhonghua Sun, Beijing Univ. of Technology (China)
Beijing Lab. of Advanced Information Network (China)
Kebin Jia, Beijing Univ. of Technology (China)
Beijing Lab. of Advanced Information Network (China)


Published in SPIE Proceedings Vol. 11224:
Optics and Ionizing Radiation
Brian W. Pogue, Editor(s)

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