Image-guided Simulation for Augmented Reality during Hepatic Surgery

Nazim Haouchine 1, 2
1 MAGRIT - Visual Augmentation of Complex Environments
Inria Nancy - Grand Est, LORIA - ALGO - Department of Algorithms, Computation, Image and Geometry
2 SHACRA - Simulation in Healthcare using Computer Research Advances
LIFL - Laboratoire d'Informatique Fondamentale de Lille, Inria Lille - Nord Europe, Inria Nancy - Grand Est
Abstract : The main objective of this thesis is to provide surgeons with tools for pre and intra-operative decision support during minimally invasive hepatic surgery. These interventions are usually based on laparoscopic techniques or, more recently, flexible endoscopy. During such operations, the surgeon tries to remove a significant number of liver tumors while preserving the functional role of the liver. This involves defining an optimal hepatectomy, i.e. ensuring that the volume of post-operative liver is at least at 55% of the original liver and the preserving at hepatic vasculature. Although intervention planning can now be considered on the basis of preoperative patient-specific, significant movements of the liver and its deformations during surgery data make this very difficult to use planning in practice. The work proposed in this thesis aims to provide augmented reality tools to be used in intra-operative conditions in order to visualize the position of tumors and hepatic vascular networks at any time.
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https://hal.inria.fr/tel-01254439
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Submitted on : Tuesday, January 12, 2016 - 11:40:30 AM
Last modification on : Thursday, February 21, 2019 - 10:52:54 AM
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  • HAL Id : tel-01254439, version 1

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Nazim Haouchine. Image-guided Simulation for Augmented Reality during Hepatic Surgery. Computer Science [cs]. Université de Lille1, 2015. English. ⟨tel-01254439⟩

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