Optimization approach to inverse problems in near-infrared optical tomography / 生物医学工程学杂志
Journal of Biomedical Engineering
;
(6): 264-269, 2008.
Artigo
em Chinês
| WPRIM
| ID: wpr-291252
ABSTRACT
In this paper, we introduce an optimization approach to the inverse model of near-infrared optical tomography (NIR OT), which can reconstruct the optical properties, namely the absorption and scattering coefficients of thick tissue such as brain and breast tissues. A modeling and simulation tool, named Femlab and based on finite element methods, has been tested wherein the forward models are based on the diffusion equation. Then the inverse model is soved; this is regarded as an optimization approach, including the tests on difference between the measured data and the predicted data, and the optimization methods of optical properties. The algorithms used for optimization are multi-species Genetic Algorithms based on multi-encoding. At last, the whole strategy for the Femlab and optimization approach is given. The strategy is proved to be sufficient by the simulation results.
Texto completo:
DisponíveL
Índice:
WPRIM (Pacífico Ocidental)
Assunto principal:
Espalhamento de Radiação
/
Algoritmos
/
Processamento de Imagem Assistida por Computador
/
Tomografia Óptica
/
Raios Infravermelhos
/
Métodos
Tipo de estudo:
Estudo prognóstico
Limite:
Humanos
Idioma:
Chinês
Revista:
Journal of Biomedical Engineering
Ano de publicação:
2008
Tipo de documento:
Artigo
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