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A monte-carlo-based network method for source positioning in bioluminescence tomography
Zhun Xu1, Xiaolei Song, Xiaomeng Zhang
1Department of Biomedical Engineering, School of Medicine, Tsinghua University, Beijing 100084, China.
International Journal of Biomedical Imaging
|February 15, 2008
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.
