Serial FEM/XFEM-based update of preoperative brain images using intraoperative MRI

Authors:
Lara M. Vigneron;Ludovic Noels;Simon K. Warfield;Jacques G. Verly;Pierre A. Robe
Affiliations:
Department of Electrical Engineering and Computer Science, University of Liège, Liège, Belgium;Department of Aerospace and Mechanical Engineering, University of Liège, Liège, Belgium;Computational Radiology Laboratory, Department of Radiology Children's Hospital Boston, Harvard Medical School, Boston, MA;Department of Electrical Engineering and Computer Science, University of Liège, Liège, Belgium;Department of Neurosurgery, University of Utrecht Medical Center, Utrecht, The Netherlands
Venue:
Journal of Biomedical Imaging - Special issue on Mathematical Methods for Images and Surfaces 2011
Year:
2012

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Abstract

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.