Skip to Main content Skip to Navigation
Conference papers

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.
Complete list of metadata

Cited literature [13 references]  Display  Hide  Download
Contributor : Erwan Kerrien Connect in order to contact the contributor
Submitted on : Friday, March 25, 2011 - 9:43:42 AM
Last modification on : Thursday, January 20, 2022 - 5:31:25 PM
Long-term archiving on: : Thursday, November 8, 2012 - 12:31:36 PM


Files produced by the author(s)


  • HAL Id : inria-00579814, version 1


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



Record views


Files downloads