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A statistical arteriovenous cerebral atlas

Alice Dufour 1, 2 Olena Tankyevych 3 Hugues Talbot 4 Christian Ronse 1 Joseph Baruthio 2 Nicolas Passat 1
1 LSIIT - Laboratoire des Sciences de l'Image, de l'Informatique et de la Télédétection
2 LINC - Laboratoire d'Imagerie et de Neurosciences Cognitives
3 LISSI - Laboratoire Images, Signaux et Systèmes Intelligents
4 ligm - Laboratoire d'Informatique Gaspard-Monge
Abstract : In this paper, we propose a pipeline for building statistical cerebro-vascular atlases from 3D angiographic datasets. This pipeline relies on recent advances in vessel segmentation and filtering, image skeletonization, and image registration. The generated atlases embed information on vesselness probability , vein/artery discrimination, vessel size and relative orientation. It improves on previously proposed approaches. Experiments performed on a dataset of 54 MRA/MRI images allowed us to propose an original vascular atlas of the whole intracranial volume.
Keywords : vascular atlas magnetic resonance angiography vessel analysis
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https://hal.univ-reims.fr/hal-01695056
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  • HAL Id : hal-01695056, version 1

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Alice Dufour, Olena Tankyevych, Hugues Talbot, Christian Ronse, Joseph Baruthio, et al.. A statistical arteriovenous cerebral atlas. MICCAI Workshop on Computing and Visualization for (Intra)Vascular Imaging (CVII@MICCAI), 2011, Toronto, Canada. pp.73-80. ⟨hal-01695056⟩

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