Work

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

Year: 2007

Type: article

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.

Source: International Journal of Biomedical Imaging

DOI: 10.1155/2007/48989

Authors: Zhun Xu, Xiaolei Song, Xiaomeng Zhang, Jing Bai

Institution: Tsinghua University

Language: English

Topic: Optical Imaging and Spectroscopy Techniques

Subfield: Radiology, Nuclear Medicine and Imaging

Field: Medicine

Domain: Health Sciences

Open Access status: gold

Estimated APC paid: $1,000

Funders: National Natural Science Foundation of China, Bijzonder Onderzoeksfonds UGent, National Key Research and Development Program of China, Specialized Research Fund for the Doctoral Program of Higher Education of China