title: A monte-carlo-based network method for source positioning in bioluminescence tomography.
abstract: We present an approach based on the improved Levenberg Marquardt (LM) algorithm of backpropagation (BP) neural network to estimate the light source position in bioluminescent imaging. For solving the forward problem, the table-based random sampling algorithm (TBRS), a fast Monte Carlo simulation method we developed before, is employed here. Result shows that BP is an effective method to position the light source.
authors.affiliation: Department of Biomedical Engineering, School of Medicine, Tsinghua University, Beijing 100084, China.
authors.forename: Zhun
authors.initials: Z
authors.lastname: Xu
authors.forename: Xiaolei
authors.initials: X
authors.lastname: Song
authors.forename: Xiaomeng
authors.initials: X
authors.lastname: Zhang
authors.forename: Jing
authors.initials: J
authors.lastname: Bai