Deformation-based Augmented Reality for ...
Document type :
Article dans une revue scientifique
Title :
Deformation-based Augmented Reality for Hepatic Surgery
Author(s) :
Haouchine, Nazim [Auteur]
Simulation in Healthcare using Computer Research Advances [SHACRA]
Dequidt, Jeremie [Auteur]
Simulation in Healthcare using Computer Research Advances [SHACRA]
Berger, Marie-Odile [Auteur]
Visual Augmentation of Complex Environments [MAGRIT]
Cotin, Stéphane [Auteur]
Simulation in Healthcare using Computer Research Advances [SHACRA]
Simulation in Healthcare using Computer Research Advances [SHACRA]
Dequidt, Jeremie [Auteur]

Simulation in Healthcare using Computer Research Advances [SHACRA]
Berger, Marie-Odile [Auteur]
Visual Augmentation of Complex Environments [MAGRIT]
Cotin, Stéphane [Auteur]
Simulation in Healthcare using Computer Research Advances [SHACRA]
Journal title :
Studies in Health Technology and Informatics
Publisher :
IOS Press
Publication date :
2013-02-20
ISSN :
0926-9630
HAL domain(s) :
Informatique [cs]/Synthèse d'image et réalité virtuelle [cs.GR]
English abstract : [en]
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 ...
Show more >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.Show less >
Show more >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.Show less >
Language :
Anglais
Peer reviewed article :
Oui
Audience :
Internationale
Popular science :
Non
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