Paper
17 September 1999 Application of genetic algorithms to an inverse problem of light propagation in tissues: reconstruction of the location and size of a tumor in a tissue volume
Hang Zhang, Sailing He, Wei Sun
Author Affiliations +
Proceedings Volume 3863, 1999 International Conference on Biomedical Optics; (1999) https://doi.org/10.1117/12.364360
Event: International Symposium on Biomedical Optics, 1999, Wuhan, China
Abstract
The light propagation in tissues has been simulated successfully by Monte Carlo method. Since the result of Monte Carlo simulation is discrete and statistic, the traditional optimizations and search algorithms encounter irresolvable difficulty in an inverse problem, but it can be overcome effectively by Genetic Algorithms due to their global search, robustness and self-adapting. In the present paper, we consider a tissue volume in which there is a spherical tumor with different optical parameters. A thin collimated NIR laser beam incidents normally on the surface. Monte Carlo method is used as a solution to the direct problem after some improvements, and in the inverse problem a genetic algorithm is applied to reconstruct the tumor. An appropriate evaluation function related to forward light distribution is designed to improve the stability and the speed of convergence. The selection based on fitness expectation is adopted as well as the random crossover and random mutation. Four parameters which determine the location and size of the tumor are to be reconstructed. The reconstructed tumor has a good agreement with the true tumor.
© (1999) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Hang Zhang, Sailing He, and Wei Sun "Application of genetic algorithms to an inverse problem of light propagation in tissues: reconstruction of the location and size of a tumor in a tissue volume", Proc. SPIE 3863, 1999 International Conference on Biomedical Optics, (17 September 1999); https://doi.org/10.1117/12.364360
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