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...
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| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Wiley
2007-01-01
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| Series: | International Journal of Biomedical Imaging |
| Online Access: | http://dx.doi.org/10.1155/2007/48989 |
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| Summary: | 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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| ISSN: | 1687-4188 1687-4196 |