Automatic localization and quantification of intracranial aneurysms

Sahar Hassan 1 Franck Hétroy 1, 2 François Faure 1 Olivier Palombi 1, 3
1 EVASION - Virtual environments for animation and image synthesis of natural objects
Inria Grenoble - Rhône-Alpes, LJK - Laboratoire Jean Kuntzmann, INPG - Institut National Polytechnique de Grenoble
2 MORPHEO - Capture and Analysis of Shapes in Motion
Inria Grenoble - Rhône-Alpes, LJK - Laboratoire Jean Kuntzmann, INPG - Institut National Polytechnique de Grenoble
Abstract : We discuss in this paper the problem of localizing and quantifying intracranial aneurysms. Assuming that the segmentation of medical images is done, and that a 3D representation of the vascular tree is available, we present a new automatic algorithm to extract vessels centerlines. Aneurysms are then automatically detected by studying variations of vessels diameters. Once an aneurysm is detected, we give measures that are important to decide its treatment. The name of the aneurysm-carrying vessel is computed using an inexact graph matching technique. The proposed approach is evaluated on segmented real images issued from Magnetic Resonance Angiography (MRA) and CT scan.
Keywords : Motion
Type de document :
Communication dans un congrès
Pedro Real, Daniel Diaz-Pernil, Helena Molina-Abril, Ainhoa Berciano, and Walter G. Kropatesch. CAIP - 14th International Conference on Computer Analysis of Images and Patterns, Aug 2011, Seville, Spain. Springer, 6854, pp.554-562, 2011, Lecture Notes in Computer Science. 〈10.1007/978-3-642-23672-3_67〉
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Contributeur : Sahar Hassan <>
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Dernière modification le : mercredi 11 avril 2018 - 01:57:55
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Sahar Hassan, Franck Hétroy, François Faure, Olivier Palombi. Automatic localization and quantification of intracranial aneurysms. Pedro Real, Daniel Diaz-Pernil, Helena Molina-Abril, Ainhoa Berciano, and Walter G. Kropatesch. CAIP - 14th International Conference on Computer Analysis of Images and Patterns, Aug 2011, Seville, Spain. Springer, 6854, pp.554-562, 2011, Lecture Notes in Computer Science. 〈10.1007/978-3-642-23672-3_67〉. 〈inria-00598491v2〉

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