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Bayesian representation of prior information and MCMC method in microwave imaging / 生物医学工程学杂志
Journal of Biomedical Engineering ; (6): 1108-1111, 2005.
Artículo en Chino | WPRIM | ID: wpr-238266
ABSTRACT
Microwave imaging for dielectric objects was considered in this paper. Applying Bayesian approach to represent prior information about permittivity distribution of observed object by prior probability density and combine measurements information of scattering field, we obtained posterior probability density that included synthetic information about the observed object. And then, Gibbs sampler, one of Markov Chain Monte Carlo method, was used to sample the posterior probability density. The sample mean was regarded as an evaluation of the permittivity distribution. The results of simulation imaging with "blocky" objects showed that this set of methods made good use of information and had the advantages of feasibility and very strong anti-noise ability. In addition,it is capable of describing (definite or indefinite) prior information in a convenient and controllable way, as well as capable of giving the "complete" solution, i.e., the occurrence probability of every permittivity distribution.
Asunto(s)
Texto completo: Disponible Índice: WPRIM (Pacífico Occidental) Asunto principal: Simulación por Computador / Procesamiento de Imagen Asistido por Computador / Método de Montecarlo / Cadenas de Markov / Teorema de Bayes / Diagnóstico / Métodos / Microondas / Modelos Teóricos / Neoplasias Tipo de estudio: Estudio diagnóstico / Evaluación Económica en Salud / Estudio pronóstico Idioma: Chino Revista: Journal of Biomedical Engineering Año: 2005 Tipo del documento: Artículo

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Texto completo: Disponible Índice: WPRIM (Pacífico Occidental) Asunto principal: Simulación por Computador / Procesamiento de Imagen Asistido por Computador / Método de Montecarlo / Cadenas de Markov / Teorema de Bayes / Diagnóstico / Métodos / Microondas / Modelos Teóricos / Neoplasias Tipo de estudio: Estudio diagnóstico / Evaluación Económica en Salud / Estudio pronóstico Idioma: Chino Revista: Journal of Biomedical Engineering Año: 2005 Tipo del documento: Artículo