Automatic biomechanical graph matching CT-CBCT fusion

Jaime 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.
Document type :
Conference papers
Liste complète des métadonnées

Cited literature [8 references]  Display  Hide  Download


https://hal.archives-ouvertes.fr/hal-01587952
Contributor : Jaime Garcia Guevara <>
Submitted on : Thursday, September 14, 2017 - 7:24:00 PM
Last modification on : Thursday, February 21, 2019 - 10:52:54 AM
Document(s) archivé(s) le : Saturday, December 16, 2017 - 3:00:51 AM

Files

GarciaGuevaraSurgetica2017.pdf
Files produced by the author(s)

Identifiers

  • HAL Id : hal-01587952, version 1

Citation

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

Share

Metrics

Record views

437

Files downloads

345