Model extraction from magnetic resonance volume data using the deformable pyramid.
Med Image Anal
; 3(4): 387-406, 1999 Dec.
Article
en En
| MEDLINE
| ID: mdl-10709703
A general framework for automatic model extraction from magnetic resonance (MR) images is described. The framework is based on a two-stage algorithm. In the first stage, a geometrical and topological multiresolution prior model is constructed. It is based on a pyramid of graphs. In the second stage, a matching algorithm is described. This algorithm is used to deform the prior pyramid in a constrained manner. The topological and the main geometrical properties of the model are preserved, and at the same time, the model adapts itself to the input data. We show that it performs a fast and robust model extraction from image data containing unstructured information and noise. The efficiency of the deformable pyramid is illustrated on a synthetic image. Several examples of the method applied to MR volumes are also represented.
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Bases de datos:
MEDLINE
Asunto principal:
Tórax
/
Reconocimiento de Normas Patrones Automatizadas
/
Imagen por Resonancia Magnética
/
Aumento de la Imagen
/
Modelos Biológicos
Límite:
Humans
Idioma:
En
Revista:
Med Image Anal
Asunto de la revista:
DIAGNOSTICO POR IMAGEM
Año:
1999
Tipo del documento:
Article
País de afiliación:
Francia