Abstract：
:The reconstruction of bioluminescence tomography (BLT) is severely ill-posed due to the insufficient measurements and diffuses nature of the light propagation. Predefined permissible source region (PSR) combined with regularization terms is one common strategy to reduce such ill-posedness. However, the region of PSR is usually hard to determine and can be easily affected by subjective consciousness. Hence, we theoretically developed a filtered maximum likelihood expectation maximization (fMLEM) method for BLT. Our method can avoid predefining the PSR and provide a robust and accurate result for global reconstruction. In the method, the simplified spherical harmonics approximation (SPN) was applied to characterize diffuse light propagation in medium, and the statistical estimation-based MLEM algorithm combined with a filter function was used to solve the inverse problem. We systematically demonstrated the performance of our method by the regular geometry- and digital mouse-based simulations and a liver cancer-based in vivo experiment. Graphical abstract The filtered MLEM-based global reconstruction method for BLT.
journal_name
Med Biol Eng Computjournal_title
Medical & biological engineering & computingauthors
Yang D,Wang L,Chen D,Yan C,He X,Liang J,Chen Xdoi
10.1007/s11517-018-1842-zsubject
Has Abstractpub_date
2018-11-01 00:00:00pages
2067-2081issue
11eissn
0140-0118issn
1741-0444pii
10.1007/s11517-018-1842-zjournal_volume
56pub_type
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