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Automatic biomechanical graph matching CT-CBCT fusion

Jaime Garcia Garcia Guevara 1 Igor Peterlik 1 Marie-Odile Berger 2 Stéphane Cotin 3 
2 MAGRIT - Visual Augmentation of Complex Environments
Inria Nancy - Grand Est, LORIA - ALGO - Department of Algorithms, Computation, Image and Geometry
3 SHACRA - Simulation in Healthcare using Computer Research Advances
LIFL - Laboratoire d'Informatique Fondamentale de Lille, Inria Lille - Nord Europe, Inria Nancy - Grand Est
Abstract : Image-guided hepatic surgery is progressively becoming a standard for certain interventions. However, limited dose radiation requirements result in lower quality images, making it difficult to localize tumors and other structures of interest. In this paper we propose an automatic registration method exploiting the matching of the vascular trees, visible in both pre and intra-operative images. The graphs are automatically matched using an algorithm combining a Gaussian Process Regression and biomechanical model. This process is automatic, does not require any initialization and handles large intra-operative deformations.
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Submitted on : Thursday, September 14, 2017 - 7:24:00 PM
Last modification on : Saturday, June 25, 2022 - 7:47:16 PM
Long-term archiving on: : Saturday, December 16, 2017 - 3:00:51 AM


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  • HAL Id : hal-01587952, version 1


Jaime Garcia Garcia Guevara, Igor Peterlik, Marie-Odile Berger, Stéphane Cotin. Automatic biomechanical graph matching CT-CBCT fusion. Surgetica 2017, Nov 2017, Strasbourg, France. ⟨hal-01587952⟩



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