Image-guided Simulation of Heterogeneous Tissue Deformation For Augmented Reality during Hepatic Surgery

Nazim Haouchine 1 Jérémie Dequidt 2 Igor Peterlik 3 Erwan Kerrien 4 Marie-Odile Berger 4 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
4 MAGRIT - Visual Augmentation of Complex Environments
Inria Nancy - Grand Est, LORIA - ALGO - Department of Algorithms, Computation, Image and Geometry
Abstract : This paper presents a method for real-time augmentation of vas- cular network and tumors during minimally invasive liver surgery. Internal structures computed from pre-operative CT scans can be overlaid onto the laparoscopic view for surgery guidance. Com- pared to state-of-the-art methods, our method uses a real-time biomechanical model to compute a volumetric displacement field from partial three-dimensional liver surface motion. This permits to properly handle the motion of internal structures even in the case of anisotropic or heterogeneous tissues, as it is the case for the liver and many anatomical structures. Real-time augmentation results are presented on in vivo and ex vivo data and illustrate the benefits of such an approach for minimally invasive surgery.
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Conference papers
ISMAR - IEEE International Symposium on Mixed and Augmented Reality 2013, Oct 2013, Adelaide, Australia. 2013
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Nazim Haouchine, Jérémie Dequidt, Igor Peterlik, Erwan Kerrien, Marie-Odile Berger, et al.. Image-guided Simulation of Heterogeneous Tissue Deformation For Augmented Reality during Hepatic Surgery. ISMAR - IEEE International Symposium on Mixed and Augmented Reality 2013, Oct 2013, Adelaide, Australia. 2013. <hal-00842855>

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