Deformation-based Augmented Reality for Hepatic Surgery

Nazim Haouchine 1 Jérémie Dequidt 1 Marie-Odile Berger 2 Stéphane Cotin 1
1 SHACRA - Simulation in Healthcare using Computer Research Advances
LIFL - Laboratoire d'Informatique Fondamentale de Lille, Inria Lille - Nord Europe, Inria Nancy - Grand Est
2 MAGRIT - Visual Augmentation of Complex Environments
INRIA Lorraine, LORIA - Laboratoire Lorrain de Recherche en Informatique et ses Applications
Abstract : In this paper we introduce a method for augmenting the laparoscopic view during hepatic tumor resection. Using augmented reality techniques, vessels, tumors and cutting planes computed from pre-operative data can be overlaid onto the laparoscopic video. Compared to current techniques, which are limited to a rigid registration of the pre-operative liver anatomy with the intra-operative image, we propose a real-time, physics-based, non-rigid registration. The main strength of our approach is that the deformable model can also be used to regularize the data extracted from the computer vision algorithms. We show preliminary results on a video sequence which clearly highlights the interest of using physics-based model for elastic registration.
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Nazim Haouchine, Jérémie Dequidt, Marie-Odile Berger, Stéphane Cotin. Deformation-based Augmented Reality for Hepatic Surgery. Studies in Health Technology and Informatics, IOS Press, 2013, 184. ⟨hal-00768372⟩

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