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Serial FEM/XFEM-Based Update of Preoperative Brain Images Using Intraoperative MRI

Current neuronavigation systems cannot adapt to changing intraoperative conditions over time. To overcome this limitation, we present an experimental end-to-end system capable of updating 3D preoperative images in the presence of brain shift and successive resections. The heart of our system is a no...

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Autores principales: Vigneron, Lara M., Noels, Ludovic, Warfield, Simon K., Verly, Jacques G., Robe, Pierre A.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi Publishing Corporation 2012
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3263624/
https://www.ncbi.nlm.nih.gov/pubmed/22287953
http://dx.doi.org/10.1155/2012/872783
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author Vigneron, Lara M.
Noels, Ludovic
Warfield, Simon K.
Verly, Jacques G.
Robe, Pierre A.
author_facet Vigneron, Lara M.
Noels, Ludovic
Warfield, Simon K.
Verly, Jacques G.
Robe, Pierre A.
author_sort Vigneron, Lara M.
collection PubMed
description Current neuronavigation systems cannot adapt to changing intraoperative conditions over time. To overcome this limitation, we present an experimental end-to-end system capable of updating 3D preoperative images in the presence of brain shift and successive resections. The heart of our system is a nonrigid registration technique using a biomechanical model, driven by the deformations of key surfaces tracked in successive intraoperative images. The biomechanical model is deformed using FEM or XFEM, depending on the type of deformation under consideration, namely, brain shift or resection. We describe the operation of our system on two patient cases, each comprising five intraoperative MR images, and we demonstrate that our approach significantly improves the alignment of nonrigidly registered images.
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spelling pubmed-32636242012-01-27 Serial FEM/XFEM-Based Update of Preoperative Brain Images Using Intraoperative MRI Vigneron, Lara M. Noels, Ludovic Warfield, Simon K. Verly, Jacques G. Robe, Pierre A. Int J Biomed Imaging Research Article Current neuronavigation systems cannot adapt to changing intraoperative conditions over time. To overcome this limitation, we present an experimental end-to-end system capable of updating 3D preoperative images in the presence of brain shift and successive resections. The heart of our system is a nonrigid registration technique using a biomechanical model, driven by the deformations of key surfaces tracked in successive intraoperative images. The biomechanical model is deformed using FEM or XFEM, depending on the type of deformation under consideration, namely, brain shift or resection. We describe the operation of our system on two patient cases, each comprising five intraoperative MR images, and we demonstrate that our approach significantly improves the alignment of nonrigidly registered images. Hindawi Publishing Corporation 2012 2012-01-12 /pmc/articles/PMC3263624/ /pubmed/22287953 http://dx.doi.org/10.1155/2012/872783 Text en Copyright © 2012 Lara M. Vigneron et al. https://creativecommons.org/licenses/by/3.0/ This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research Article
Vigneron, Lara M.
Noels, Ludovic
Warfield, Simon K.
Verly, Jacques G.
Robe, Pierre A.
Serial FEM/XFEM-Based Update of Preoperative Brain Images Using Intraoperative MRI
title Serial FEM/XFEM-Based Update of Preoperative Brain Images Using Intraoperative MRI
title_full Serial FEM/XFEM-Based Update of Preoperative Brain Images Using Intraoperative MRI
title_fullStr Serial FEM/XFEM-Based Update of Preoperative Brain Images Using Intraoperative MRI
title_full_unstemmed Serial FEM/XFEM-Based Update of Preoperative Brain Images Using Intraoperative MRI
title_short Serial FEM/XFEM-Based Update of Preoperative Brain Images Using Intraoperative MRI
title_sort serial fem/xfem-based update of preoperative brain images using intraoperative mri
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3263624/
https://www.ncbi.nlm.nih.gov/pubmed/22287953
http://dx.doi.org/10.1155/2012/872783
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