Science and Technology Production
Congress
Authorship
LARRABIDE, IGNACIO
;
M.C. Villa-Uriol
;
R. Cardenes
;
J. M. Pozo
;
D. R. Hose
;
A. F. Frangi
Date
2010
Publishing House and Editing Place
Proceedings of the IEEE
Summary
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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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Key Words
ceebral aneurysmsautomated neck detection