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Robust blood vessel surface reconstruction for interactive simulations from patient data

Ahmed Yureidini 1, 2
1 SHACRA - Simulation in Healthcare using Computer Research Advances
Inria Nancy - Grand Est, Inria Lille - Nord Europe, LIFL - Laboratoire d'Informatique Fondamentale de Lille
2 MAGRIT - Visual Augmentation of Complex Environments
Inria Nancy - Grand Est, LORIA - ALGO - Department of Algorithms, Computation, Image and Geometry
Abstract : In the context of interactive simulation, the lack of patient specific geometrical models remains one of the major limitations of simulators. Current commercial simulators proposed no or a limited number of cases. However, a vast literature on the subject has been introduced in the past twenty years. Nevertheless, the proposed methods are not adapted to an interactive context, especially when dealing with vascular networks. In this work, we address the problem of blood vessel segmentation and reconstruction from 3DRA patient data. To this end, we propose two novel algorithms for segmentation and reconstruction. First, the vessel tree is built by tracking the vessel centerline. Our dedicated tracking process also extracts points on the vessel surface in a robust way. Second, those points are fitted by an implicit surface (a blobby model) that is iteratively refined. Tracking and reconstruction results are reported on synthetic and patient data. Simulations within an interventional tool navigation context showed that the resulting geometrical model complies with interactive simulation requirements: fast collision detection and prediction, topology information, smoothness and availability of differential quantities for contact response computation.
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Contributor : Ahmed Yureidini <>
Submitted on : Saturday, June 21, 2014 - 4:27:08 PM
Last modification on : Tuesday, February 9, 2021 - 3:24:11 PM
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  • HAL Id : tel-01010973, version 1


Ahmed Yureidini. Robust blood vessel surface reconstruction for interactive simulations from patient data. Medical Imaging. Université des Sciences et Technologie de Lille - Lille I, 2014. English. ⟨tel-01010973⟩



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