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

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 met...

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Detalles Bibliográficos
Autores principales: Xu, Zhun, Song, Xiaolei, Zhang, Xiaomeng, Bai, Jing
Formato: Texto
Lenguaje:English
Publicado: Hindawi Publishing Corporation 2007
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2216075/
https://www.ncbi.nlm.nih.gov/pubmed/18273391
http://dx.doi.org/10.1155/2007/48989
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author Xu, Zhun
Song, Xiaolei
Zhang, Xiaomeng
Bai, Jing
author_facet Xu, Zhun
Song, Xiaolei
Zhang, Xiaomeng
Bai, Jing
author_sort Xu, Zhun
collection PubMed
description 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.
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spelling pubmed-22160752008-02-13 A Monte-Carlo-Based Network Method for Source Positioning in Bioluminescence Tomography Xu, Zhun Song, Xiaolei Zhang, Xiaomeng Bai, Jing Int J Biomed Imaging Research Article 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. Hindawi Publishing Corporation 2007 2007-10-18 /pmc/articles/PMC2216075/ /pubmed/18273391 http://dx.doi.org/10.1155/2007/48989 Text en Copyright © 2007 Zhun Xu et al. https://creativecommons.org/licenses/by/3.0/ 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.
spellingShingle Research Article
Xu, Zhun
Song, Xiaolei
Zhang, Xiaomeng
Bai, Jing
A Monte-Carlo-Based Network Method for Source Positioning in Bioluminescence Tomography
title A Monte-Carlo-Based Network Method for Source Positioning in Bioluminescence Tomography
title_full A Monte-Carlo-Based Network Method for Source Positioning in Bioluminescence Tomography
title_fullStr A Monte-Carlo-Based Network Method for Source Positioning in Bioluminescence Tomography
title_full_unstemmed A Monte-Carlo-Based Network Method for Source Positioning in Bioluminescence Tomography
title_short A Monte-Carlo-Based Network Method for Source Positioning in Bioluminescence Tomography
title_sort monte-carlo-based network method for source positioning in bioluminescence tomography
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2216075/
https://www.ncbi.nlm.nih.gov/pubmed/18273391
http://dx.doi.org/10.1155/2007/48989
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