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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Series: | International Journal of Biomedical Imaging |
Online Access: | http://dx.doi.org/10.1155/2012/872783 |
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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 |
work_keys_str_mv |
AT laramvigneron serialfemxfembasedupdateofpreoperativebrainimagesusingintraoperativemri AT ludovicnoels serialfemxfembasedupdateofpreoperativebrainimagesusingintraoperativemri AT simonkwarfield serialfemxfembasedupdateofpreoperativebrainimagesusingintraoperativemri AT jacquesgverly serialfemxfembasedupdateofpreoperativebrainimagesusingintraoperativemri AT pierrearobe serialfemxfembasedupdateofpreoperativebrainimagesusingintraoperativemri |
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1725686942551506944 |