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Bayesian sparse‐based reconstruction in bioluminescence tomography improves localization accuracy and reduces computational time
Author(s) -
Feng Jinchao,
Jia Kebin,
Li Zhe,
Pogue Brian W.,
Yang Mingjie,
Wang Yaqi
Publication year - 2018
Publication title -
journal of biophotonics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.877
H-Index - 66
eISSN - 1864-0648
pISSN - 1864-063X
DOI - 10.1002/jbio.201700214
Subject(s) - imaging phantom , computer science , a priori and a posteriori , algorithm , iterative reconstruction , reconstruction algorithm , computer vision , multispectral image , tomography , matlab , source code , artificial intelligence , optics , physics , philosophy , epistemology , operating system