Morphology-based cerebrovascular atlas

Alice Dufour; Christian Ronse; Joseph Baruthio; Olena Tankyevych; Hugues Talbot; Nicolas Passat

Morphology-based cerebrovascular atlas

Alice Dufour ^{1, *} Christian Ronse ¹ Joseph Baruthio ¹ Olena Tankyevych ² Hugues Talbot ³ Nicolas Passat ^{4, *}

* Corresponding author

1 ICube - Laboratoire des sciences de l'ingénieur, de l'informatique et de l'imagerie

2 LISSI - Laboratoire Images, Signaux et Systèmes Intelligents

3 LIGM - Laboratoire d'Informatique Gaspard-Monge

4 CRESTIC - Centre de Recherche en Sciences et Technologies de l'Information et de la Communication - EA 3804

Abstract : Cerebrovascular atlases can be used to improve medical tasks requiring the analysis of 3D angiographic data. The generation of such atlases remains however a complex and infrequently considered issue. The existing approaches rely on information exclusively related to the vessels. We alternatively investigate a new way, consisting of using both vascular and morphological information (i.e., cerebral structures) to improve the accuracy and relevance of the obtained vascular atlases. Experiments emphasise improvements in the main steps of the atlas generation process impacted by the use of morphological information. An example of cerebrovascular atlas obtained from a dataset of 56 MRAs acquired from several acquisition devices is finally provided.

Keywords : vascular atlas brain atlas magnetic resonance angiography spatial relationship

Document type :

Conference papers

Domain :

Computer Science [cs] / Image Processing [eess.IV]

Computer Science [cs] / Medical Imaging

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https://hal-upec-upem.archives-ouvertes.fr/hal-00865887
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Submitted on : Wednesday, September 25, 2013 - 11:54:37 AM
Last modification on : Thursday, June 27, 2019 - 12:12:18 PM
Long-term archiving on : Thursday, December 26, 2013 - 4:18:41 AM

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