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

Zhun Xu, Xiaolei Song, Xiaomeng Zhang, Jing Bai

Research output: Contribution to journalArticle

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 languageEnglish (US)
Article number48989
JournalInternational Journal of Biomedical Imaging
Volume2007
DOIs
StatePublished - 2007
Externally publishedYes

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Tomography
Light

ASJC Scopus subject areas

  • Radiology Nuclear Medicine and imaging

Cite this

A Monte-Carlo-based network method for source positioning in bioluminescence tomography. / Xu, Zhun; Song, Xiaolei; Zhang, Xiaomeng; Bai, Jing.

In: International Journal of Biomedical Imaging, Vol. 2007, 48989, 2007.

Research output: Contribution to journalArticle

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