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International Journal of Biomedical Imaging
Volume 2007 (2007), Article ID 48989, 6 pages
http://dx.doi.org/10.1155/2007/48989
Research Article

A Monte-Carlo-Based Network Method for Source Positioning in Bioluminescence Tomography

Department of Biomedical Engineering, School of Medicine, Tsinghua University, Beijing 100084, China

Received 19 January 2007; Revised 22 May 2007; Accepted 4 July 2007

Academic Editor: Jie Tian

Copyright © 2007 Zhun Xu et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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.