Automatic extraction and segmentation of the intracranial structure from cerebral computed tomography / 南方医科大学学报
Journal of Southern Medical University
;
(12): 1805-1808, 2007.
Artículo
en Chino
| WPRIM
| ID: wpr-281536
ABSTRACT
This paper describes a new method for extracting and segmenting intracranial structure from serial images of cerebral computerized tomography automatically. A region growing- and morphology-based approach was first developed to extract intracranial structures from the serial images of cerebral computerized tomography, and focusing on the problems of parameter initialization of the expectation maximization (EM) algorithm, an improved EM algorithm based on parameter- limited GMM was presented to segment the intracranial structures successfully. Experimental results of the algorithm showed that this method was effective for all cerebral computerized tomography images from bottom to top of the cerebrum.
Texto completo:
Disponible
Índice:
WPRIM (Pacífico Occidental)
Asunto principal:
Algoritmos
/
Reconocimiento de Normas Patrones Automatizadas
/
Diagnóstico por Imagen
/
Tomografía Computarizada por Rayos X
/
Cerebro
/
Métodos
Tipo de estudio:
Estudio diagnóstico
Límite:
Humanos
Idioma:
Chino
Revista:
Journal of Southern Medical University
Año:
2007
Tipo del documento:
Artículo
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