Detection and 3D Reconstruction of Brain from MR Images / 대한의료정보학회지
Journal of Korean Society of Medical Informatics
;
: 139-144, 1998.
Artículo
en Coreano
| WPRIM
| ID: wpr-23024
ABSTRACT
In this paper, we propose a brain detection algorithm of cross-sectional images through a 3D volume. The proposed brain detection algorithm uses several steps. They are as follows; In the first step, the standard value and downward from input image data are removed. in the second step, the pixels with maximum intensity are removed but undesirable many small areas were appeared as by-products. In order to detect brain, these small areas need to be removed. In the third step, many small areas are removed by masking but some small areas still remained. In the fourth step, they are removed using three-dimensional connectivity. The proposed algorithm was applied to real human MRI data and the brain area was successfully detected.
Texto completo:
Disponible
Índice:
WPRIM (Pacífico Occidental)
Asunto principal:
Encéfalo
/
Imagen por Resonancia Magnética
/
Máscaras
Tipo de estudio:
Estudio diagnóstico
Límite:
Humanos
Idioma:
Coreano
Revista:
Journal of Korean Society of Medical Informatics
Año:
1998
Tipo del documento:
Artículo
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