Serial FEM/XFEM-Based Update of Preoperative Brain Images Using Intraoperative MRI
Author(s) -
Lara Vigneron,
Ludovic Noels,
Simon K. Warfield,
Jacques Verly,
Pierre A. Robe
Publication year - 2012
Publication title -
international journal of biomedical imaging
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.626
H-Index - 41
eISSN - 1687-4196
pISSN - 1687-4188
DOI - 10.1155/2012/872783
Subject(s) - computer science , neuronavigation , finite element method , resection , artificial intelligence , image guided surgery , deformation (meteorology) , computer vision , radiology , magnetic resonance imaging , medicine , geology , surgery , physics , oceanography , thermodynamics
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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