Reference : Serial FEM/XFEM-Based Update of Preoperative Brain Images Using Intraoperative MRI
Scientific journals : Article
Engineering, computing & technology : Multidisciplinary, general & others
Engineering, computing & technology : Mechanical engineering
Human health sciences : Laboratory medicine & medical technology
http://hdl.handle.net/2268/103289
Serial FEM/XFEM-Based Update of Preoperative Brain Images Using Intraoperative MRI
English
Vigneron, Lara [> >]
Noels, Ludovic mailto [Université de Liège - ULg > Département d'aérospatiale et mécanique > Computational & Multiscale Mechanics of Materials (CM3) >]
Warfield, Simon [Harvard Medical School, Harvard Medical School > Computational Radiology Laboratory > > >]
Verly, Jacques mailto [Université de Liège - ULg > Dép. d'électric., électron. et informat. (Inst.Montefiore) > Exploitation des signaux et images >]
Robe, Pierre mailto [Université de Liège - ULg > Département des sciences biomédicales et précliniques > Département des sciences biomédicales et précliniques >]
Jan-2012
International Journal of Biomedical Imaging
Hindawi Publishing Corporation
2012
ID 872783, 17 pages
Yes (verified by ORBi)
International
1687-4188
1687-4196
[en] Nonrigid registration ; intraoperative MR ; brain shift ; resection ; FEM ; XFEM ; biomechanical model
[en] 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 ¯ve intraoperative MR images, and demonstrate that our approach significantly improves the alignment of nonrigidly registered images.
Researchers ; Professionals
http://hdl.handle.net/2268/103289
10.1155/2012/872783
http://dx.doi.org/10.1155/2012/872783
This is an open access article distributed under the Creative Commons Attribution License

File(s) associated to this reference

Fulltext file(s):

FileCommentaryVersionSizeAccess
Open access
2012_BIOIM_BRAIN.pdfAuthor postprint1.4 MBView/Open

Bookmark and Share SFX Query

All documents in ORBi are protected by a user license.