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Augmented 3D Catheter Navigation using Constrained Shape from Template

Raffaella Trivisonne 1, 2 Erwan Kerrien 2 Stéphane Cotin 1
2 MAGRIT - Visual Augmentation of Complex Environments
LORIA - ALGO - Department of Algorithms, Computation, Image and Geometry, Inria Nancy - Grand Est
Abstract : In order to overcome the lack of depth perception in fluoroscopic images of endovascolar procedures, we propose a method to retrieve the 3D catheter navigation only having 2D information from x-rays images. The method is based only on image features and real-time constraint-based mechanical simulation.
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Submitted on : Friday, June 23, 2017 - 8:27:30 AM
Last modification on : Saturday, October 16, 2021 - 11:26:07 AM
Long-term archiving on: : Wednesday, January 10, 2018 - 5:00:10 PM


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  • HAL Id : hal-01545693, version 1


Raffaella Trivisonne, Erwan Kerrien, Stéphane Cotin. Augmented 3D Catheter Navigation using Constrained Shape from Template. Hamlyn Symposium, Jun 2017, London, United Kingdom. ⟨hal-01545693⟩



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