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Reconstruction robuste des vaisseaux sanguins par surfaces implicites locales

Ahmed Yureidini 1, 2, * Erwan Kerrien 1 Stéphane Cotin 2
* Corresponding author
1 MAGRIT - Visual Augmentation of Complex Environments
INRIA Lorraine, LORIA - Laboratoire Lorrain de Recherche en Informatique et ses Applications
2 SHACRA - Simulation in Healthcare using Computer Research Advances
LIFL - Laboratoire d'Informatique Fondamentale de Lille, Inria Lille - Nord Europe, Inria Nancy - Grand Est
Abstract : Growing interest in computer-based simulations has arisen, specially for interventional radiology procedures. In this context, we address the problem of blood vessel segmentation from 3D rotational angiography data, as an implicit surface reconstruction problem. A new implicit model is proposed, made of a tree of local implicit surfaces. A dedicated tracking algorithm is described to build the tree. Meanwhile, robust extraction of points on the vessel surface is performed. An original surface approximation method is then described to locally fit these points. Tracking results are presented on a patient data. Also experimental analysis of our model is carried out on synthetic 2D examples. Finally, preliminary segmentation results are reported on a silicon vascular phantom.
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https://hal.inria.fr/inria-00579814
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Submitted on : Friday, March 25, 2011 - 9:43:42 AM
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  • HAL Id : inria-00579814, version 1

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Ahmed Yureidini, Erwan Kerrien, Stéphane Cotin. Reconstruction robuste des vaisseaux sanguins par surfaces implicites locales. Orasis, Jun 2011, Praz-sur-Arly, France. ⟨inria-00579814⟩

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