| 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 [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 [Université de Liège - ULg > Dép. d'électric., électron. et informat. (Inst.Montefiore) > Exploitation des signaux et images >] | |
Robe, Pierre [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 |
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