Producción CyT
Congreso
Autoría
LARRABIDE, IGNACIO
;
M.C. Villa-Uriol
;
R. Cardenes
;
J. M. Pozo
;
D. R. Hose
;
A. F. Frangi
Fecha
2010
Editorial y Lugar de Edición
Proceedings of the IEEE
Resumen
Información suministrada por el agente en
SIGEVA
Until today, geometrical descriptors of intracranial aneurysms are largely used for diagnosis and treatment selection. Nevertheless, relatively little work has been devoted to automatize these measurements. In this work we propose a methodology for the automated isolation and quantification from vascular segmentation. The proposed methodology is based on skeleton topology analysis, geometrical analysis and deformable models to isolate, automatically, the aneurysm dome as well as its geometrical...
Until today, geometrical descriptors of intracranial aneurysms are largely used for diagnosis and treatment selection. Nevertheless, relatively little work has been devoted to automatize these measurements. In this work we propose a methodology for the automated isolation and quantification from vascular segmentation. The proposed methodology is based on skeleton topology analysis, geometrical analysis and deformable models to isolate, automatically, the aneurysm dome as well as its geometrical characteristics. The accuracy of this methodology when compared to manually isolated aneurysms is evaluated in 10 patient-specific vascular geometries. Good correspondence is observed between manual and automated results.
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Palabras Clave
ceebral aneurysmsautomated neck detection