Deformation-based Augmented Reality for ...
Type de document :
Article dans une revue scientifique: Article original
Titre :
Deformation-based Augmented Reality for Hepatic Surgery
Auteur(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]
Titre de la revue :
Studies in Health Technology and Informatics
Éditeur :
IOS Press
Date de publication :
2013-02-20
ISSN :
0926-9630
Discipline(s) HAL :
Computer Science [cs]/Graphics [cs.GR]
Résumé en anglais : [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 ...
Lire la suite >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.Lire moins >
Lire la suite >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.Lire moins >
Langue :
Anglais
Comité de lecture :
Oui
Audience :
Internationale
Vulgarisation :
Non
Collections :
Source :
Fichiers
- https://hal.inria.fr/hal-00768372/document
- Accès libre
- Accéder au document
- https://hal.inria.fr/hal-00768372/document
- Accès libre
- Accéder au document
- document
- Accès libre
- Accéder au document
- Haouchine_N.pdf
- Accès libre
- Accéder au document
- document
- Accès libre
- Accéder au document
- Haouchine_N.pdf
- Accès libre
- Accéder au document