A Monte-Carlo-based network method for source positioning in bioluminescence tomography

Zhun Xu; Xiaolei Song; Xiaomeng Zhang; Jing Bai

doi:10.1155/2007/48989

A Monte-Carlo-based network method for source positioning in bioluminescence tomography

Zhun Xu, Xiaolei Song, Xiaomeng Zhang, Jing Bai

Research output: Contribution to journal › Article › peer-review

5 Scopus citations

Abstract

We present an approach based on the improved LevenbergMarquardt (LM) algorithm of backpropagation (BP) neural network to estimate the light source position in bioluminescent imaging. For solving the forward problem, thetable-based random sampling algorithm (TBRS), a fast Monte Carlo simulation methodwe developed before, is employed here. Result shows that BP is an effective method toposition the light source.

Original language	English (US)
Article number	48989
Journal	International Journal of Biomedical Imaging
Volume	2007
DOIs	https://doi.org/10.1155/2007/48989
State	Published - 2007
Externally published	Yes

ASJC Scopus subject areas

Radiology Nuclear Medicine and imaging

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10.1155/2007/48989

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title = "A Monte-Carlo-based network method for source positioning in bioluminescence tomography",

abstract = "We present an approach based on the improved LevenbergMarquardt (LM) algorithm of backpropagation (BP) neural network to estimate the light source position in bioluminescent imaging. For solving the forward problem, thetable-based random sampling algorithm (TBRS), a fast Monte Carlo simulation methodwe developed before, is employed here. Result shows that BP is an effective method toposition the light source.",

author = "Zhun Xu and Xiaolei Song and Xiaomeng Zhang and Jing Bai",

year = "2007",

doi = "10.1155/2007/48989",

language = "English (US)",

volume = "2007",

journal = "International Journal of Biomedical Imaging",

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T1 - A Monte-Carlo-based network method for source positioning in bioluminescence tomography

AU - Xu, Zhun

AU - Song, Xiaolei

AU - Zhang, Xiaomeng

AU - Bai, Jing

PY - 2007

Y1 - 2007

N2 - We present an approach based on the improved LevenbergMarquardt (LM) algorithm of backpropagation (BP) neural network to estimate the light source position in bioluminescent imaging. For solving the forward problem, thetable-based random sampling algorithm (TBRS), a fast Monte Carlo simulation methodwe developed before, is employed here. Result shows that BP is an effective method toposition the light source.

AB - We present an approach based on the improved LevenbergMarquardt (LM) algorithm of backpropagation (BP) neural network to estimate the light source position in bioluminescent imaging. For solving the forward problem, thetable-based random sampling algorithm (TBRS), a fast Monte Carlo simulation methodwe developed before, is employed here. Result shows that BP is an effective method toposition the light source.

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DO - 10.1155/2007/48989

M3 - Article

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JO - International Journal of Biomedical Imaging

JF - International Journal of Biomedical Imaging

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ER -

A Monte-Carlo-based network method for source positioning in bioluminescence tomography

Abstract

ASJC Scopus subject areas

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