Segmentation of 3D image of cerebral vessel / 国际生物医学工程杂志
International Journal of Biomedical Engineering
;
(6): 36-40, 2009.
Artículo
en Chino
| WPRIM
| ID: wpr-396146
ABSTRACT
During surgery and radiation therapy,demands for higher quality of quantification and visualization of cerebral vessels need to be met.Hence,automatic (or semi-automatic) extractions of accurate cerebral vessel information seem particularly important.This paper reviews the cerebral vessel segmentation methods used in recent years,including statistics-based segmentation,deformable model,multi-scale method,prior knowledgebased method,and so on.The methods are divided into the following three categoriesvoxel intensity based approach,vascular tubular structure based approach,and prior knowledge-based approach.
Texto completo:
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Índice:
WPRIM (Pacífico Occidental)
Idioma:
Chino
Revista:
International Journal of Biomedical Engineering
Año:
2009
Tipo del documento:
Artículo
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