Image reconstruction in electrical impedance tomography based on genetic algorithm / 生物医学工程学杂志
Journal of Biomedical Engineering
;
(6): 107-110, 2003.
Artículo
en Chino
| WPRIM
| ID: wpr-311095
ABSTRACT
Image reconstruction in electrical impedance tomography (EIT) is a highly ill-posed, non-linear inverse problem. The modified Newton-Raphson (MNR) iteration algorithm is deduced from the strictest theoretic analysis. It is an optimization algorithm based on minimizing the object function. The MNR algorithm with regularization technique is usually not stable, due to the serious image reconstruction model error and measurement noise. So the reconstruction precision is not high when used in static EIT. A new static image reconstruction method for EIT based on genetic algorithm (GA-EIT) is proposed in this paper. The experimental results indicate that the performance (including stability, the precision and space resolution in reconstructing the static EIT image) of the GA-EIT algorithm is better than that of the MNR algorithm.
Texto completo:
Disponible
Índice:
WPRIM (Pacífico Occidental)
Asunto principal:
Algoritmos
/
Procesamiento de Imagen Asistido por Computador
/
Tomografía
/
Impedancia Eléctrica
/
Dinámicas no Lineales
/
Métodos
Tipo de estudio:
Estudio pronóstico
Idioma:
Chino
Revista:
Journal of Biomedical Engineering
Año:
2003
Tipo del documento:
Artículo
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