Reference : Controlling the Error on Target Motion through Real-time Mesh Adaptation: Application...

	Document type :	E-prints/Working papers : Already available on another site
	Discipline(s) :	Engineering, computing & technology : Mechanical engineering
	Focus Areas :	Systems Biomedicine
	To cite this reference:	http://hdl.handle.net/10993/30937

Title :	Controlling the Error on Target Motion through Real-time Mesh Adaptation: Applications to Deep Brain Stimulation
Language :	English
Author, co-author :	Bui, Huu Phuoc [University of Luxembourg > Faculty of Science, Technology and Communication (FSTC) > Engineering Research Unit >]
	Tomar, Satyendra [University of Luxembourg > Faculty of Science, Technology and Communication (FSTC) > Engineering Research Unit >]
	Courtecuisse, Hadrien [University of Strasbourg]
	Audette, Michel [Old Dominion University]
	Cotin, Stéphane [Inria]
	Bordas, Stéphane [University of Luxembourg > Faculty of Science, Technology and Communication (FSTC) > Engineering Research Unit >]
Publication date :	Undated
Peer reviewed :	Yes
Keywords :	[en] finite element method ; real-time error estimate ; adaptive refinement ; deep brain stimulation ; adaptivity ; brain shift
Abstract :	[en] We present an error-controlled mesh refinement procedure for needle insertion simulation and apply it to the simulation of electrode implantation for deep brain stimulation, including brain shift. Our approach enables to control the error in the computation of the displacement and stress fields around the needle tip and needle shaft by suitably refining the mesh, whilst maintaining a coarser mesh in other parts of the domain. We demonstrate through academic and practical examples that our approach increases the accuracy of the displacement and stress fields around the needle without increasing the computational expense. This enables real-time simulations. The proposed methodology has direct implications to increase the accuracy and control the computational expense of the simulation of percutaneous procedures such as biopsy, brachytherapy, regional anesthesia, or cryotherapy and can be essential to the development of robotic guidance.
Funders :	Fonds National de la Recherche - FnR ; ERC Stg grant agreement No. 279578 -- RealTCut
Target :	Researchers ; Professionals ; Students
Permalink :	http://hdl.handle.net/10993/30937
source URL :	https://arxiv.org/abs/1704.07636
Framework Programme / European Project :	FP7 ; 279578 - REALTCUT - Towards real time multiscale simulation of cutting in non-linear materials with applications to surgical simulation and computer guided surgery
FnR project :	FnR ; FNR8813215 > Stephane Bordas > CBM > Computational Biomechanics for Medicine: Beyond the Frontiers of Mechanics > 01/03/2015 > 31/12/2016 > 2014

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