Multiresolution elastic matching
Computer Vision, Graphics, and Image Processing
Spatial transformation and registration of brain images using elastically deformable models
Computer Vision and Image Understanding
A high performance computing approach to the registration of medical imaging data
Parallel Computing - Special double issue on biomedical applications
Real-time biomechanical simulation of volumetric brain deformation for image guided neurosurgery
Proceedings of the 2000 ACM/IEEE conference on Supercomputing
Non-linear Registration with the Variable Viscosity Fluid Algorithm
IPMI '99 Proceedings of the 16th International Conference on Information Processing in Medical Imaging
Registration of 3D Intraoperative MR Images of the Brain Using a Finite Element Biomechanical Model
MICCAI '00 Proceedings of the Third International Conference on Medical Image Computing and Computer-Assisted Intervention
Non-linear Cerebral Registration with Sulcal Constraints
MICCAI '98 Proceedings of the First International Conference on Medical Image Computing and Computer-Assisted Intervention
Efficient and reliable schemes for nonlinear diffusion filtering
IEEE Transactions on Image Processing
Enhanced FEM-based modeling of brain shift deformation in Image-Guided Neurosurgery
Journal of Computational and Applied Mathematics
Reliability-driven, spatially-adaptive regularization for deformable registration
WBIR'10 Proceedings of the 4th international conference on Biomedical image registration
MICCAI'05 Proceedings of the 8th international conference on Medical image computing and computer-assisted intervention - Volume Part II
Serial FEM/XFEM-based update of preoperative brain images using intraoperative MRI
Journal of Biomedical Imaging - Special issue on Mathematical Methods for Images and Surfaces 2011
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In this paper we describe a new algorithm for nonrigid registration of brain images based on an elastically deformable model. The use of registration methods has become an important tool for computer-assisted diagnosis and surgery. Our goal was to improve analysis in various applications of neurology and neurosurgery by improving nonrigid registration.A local gray level similarity measure is used to make an initial sparse displacement field estimate. The field is initially estimated at locations determined by local features, and then a linear elastic model is used to infer the volumetric deformation across the image. The associated partial differential equation is solved by a finite element approach. A model of empirically observed variability of the brain was created from a dataset of 154 young adults. Both homogeneous and inhomogeneous elasticity models were compared. The algorithm has been applied to medical applications including intraoperative images of neurosurgery showing brain shift and a study of gait and balance disorder.