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

被引：6
|
作者：
Xu, Zhun [1 ]
Song, Xiaolei [1 ]
Zhang, Xiaomeng [1 ]
Bai, Jing [1 ]
机构：
[1] Tsinghua Univ, Sch Med, Dept Biomed Engn, Beijing 100084, Peoples R China
来源：
INTERNATIONAL JOURNAL OF BIOMEDICAL IMAGING | 2007年 / 2007卷
基金：
高等学校博士学科点专项科研基金;
关键词：
D O I：
10.1155/2007/48989
中图分类号：
R318 [生物医学工程];
学科分类号：
0831 ;
摘要：
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. Copyright (C) 2007 Zhun Xu et al.
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页数：6
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