An integrated automated analysis method for quantifying vessel stenosis and plaque burden from carotid MRI images: combined postprocessing of MRA and vessel wall MR.
Stroke
; 37(8): 2162-4, 2006 Aug.
Article
en En
| MEDLINE
| ID: mdl-16809565
ABSTRACT
BACKGROUND AND PURPOSE:
We report the evaluation of a semiautomated method for in vivo assessment of the severity of carotid atherosclerosis with minimal user interaction that combines 3-dimensional contrast-enhanced magnetic resonance angiography (CE-MRA) and vessel wall magnetic resonance imaging (MRI).METHODS:
Lumen and outer-wall contours were automatically detected, and stenosis and plaque burden were estimated. The method was tested on 22 subjects (352 postcontrast, T1-weighted cross sections and 3-dimensional CE-MRA).RESULTS:
We observed good correlation with expert contours lumen and outer-wall area (r=0.96) and the degree of stenosis (r=0.97).CONCLUSIONS:
The fusion of MRA and MRI reduces user interaction and improves contour detection, providing reproducible parameters to assess the severity of atherosclerosis.
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Colección:
01-internacional
Base de datos:
MEDLINE
Asunto principal:
Procesamiento de Imagen Asistido por Computador
/
Imagen por Resonancia Magnética
/
Estenosis Carotídea
/
Angiografía por Resonancia Magnética
Tipo de estudio:
Evaluation_studies
Límite:
Aged
/
Humans
/
Middle aged
Idioma:
En
Revista:
Stroke
Año:
2006
Tipo del documento:
Article
País de afiliación:
Países Bajos