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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Main Authors: Lara M. Vigneron, Ludovic Noels, Simon K. Warfield, Jacques G. Verly, Pierre A. Robe
Format: Article
Language:English
Published: Hindawi Limited 2012-01-01
Series:International Journal of Biomedical Imaging
Online Access:http://dx.doi.org/10.1155/2012/872783
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spelling doaj-95944e327edc4fca805a1897161028132020-11-24T22:45:57ZengHindawi LimitedInternational Journal of Biomedical Imaging1687-41881687-41962012-01-01201210.1155/2012/872783872783Serial FEM/XFEM-Based Update of Preoperative Brain Images Using Intraoperative MRILara M. Vigneron0Ludovic Noels1Simon K. Warfield2Jacques G. Verly3Pierre A. Robe4Department of Electrical Engineering and Computer Science, University of Liège, 4000 Liège, BelgiumDepartment of Aerospace and Mechanical Engineering, University of Liège, 4000 Liège, BelgiumComputational Radiology Laboratory, Department of Radiology Children's Hospital Boston, Harvard Medical School, Boston, MA 02115, USADepartment of Electrical Engineering and Computer Science, University of Liège, 4000 Liège, BelgiumDepartment of Neurosurgery, University of Utrecht Medical Center, 3584 CX Utrecht, The NetherlandsCurrent 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.http://dx.doi.org/10.1155/2012/872783
collection DOAJ
language English
format Article
sources DOAJ
author Lara M. Vigneron
Ludovic Noels
Simon K. Warfield
Jacques G. Verly
Pierre A. Robe
spellingShingle Lara M. Vigneron
Ludovic Noels
Simon K. Warfield
Jacques G. Verly
Pierre A. Robe
Serial FEM/XFEM-Based Update of Preoperative Brain Images Using Intraoperative MRI
International Journal of Biomedical Imaging
author_facet Lara M. Vigneron
Ludovic Noels
Simon K. Warfield
Jacques G. Verly
Pierre A. Robe
author_sort Lara M. Vigneron
title 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_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_sort serial fem/xfem-based update of preoperative brain images using intraoperative mri
publisher Hindawi Limited
series International Journal of Biomedical Imaging
issn 1687-4188
1687-4196
publishDate 2012-01-01
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.
url http://dx.doi.org/10.1155/2012/872783
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