Spatial transformation and registration of brain images using elastically deformable models
Computer Vision and Image Understanding
Fast Approximate Energy Minimization via Graph Cuts
IEEE Transactions on Pattern Analysis and Machine Intelligence
Contour and Texture Analysis for Image Segmentation
International Journal of Computer Vision
Non-linear Registration with the Variable Viscosity Fluid Algorithm
IPMI '99 Proceedings of the 16th International Conference on Information Processing in Medical Imaging
Nonrigid Registration Using Regularized Matching Weighted by Local Structure
MICCAI '02 Proceedings of the 5th International Conference on Medical Image Computing and Computer-Assisted Intervention-Part II
A Novel Nonrigid Registration Algorithm and Applications
MICCAI '01 Proceedings of the 4th International Conference on Medical Image Computing and Computer-Assisted Intervention
Estimating Optimal Parameters for MRF Stereo from a Single Image Pair
IEEE Transactions on Pattern Analysis and Machine Intelligence
Efficient MRF deformation model for non-rigid image matching
Computer Vision and Image Understanding
Computer Vision and Image Understanding
Simulation of Ground-Truth Validation Data Via Physically- and Statistically-Based Warps
MICCAI '08 Proceedings of the 11th international conference on Medical Image Computing and Computer-Assisted Intervention - Part I
Nonrigid Image Registration Using Dynamic Higher-Order MRF Model
ECCV '08 Proceedings of the 10th European Conference on Computer Vision: Part I
Adaptive Contextual Energy Parameterization for Automated Image Segmentation
ISVC '09 Proceedings of the 5th International Symposium on Advances in Visual Computing: Part I
Non-rigid image registration using graph-cuts
MICCAI'07 Proceedings of the 10th international conference on Medical image computing and computer-assisted intervention - Volume Part I
Exact optimization for Markov random fields with convex priors
IEEE Transactions on Pattern Analysis and Machine Intelligence
Random walks for deformable image registration
MICCAI'11 Proceedings of the 14th international conference on Medical image computing and computer-assisted intervention - Volume Part II
Abdominal images non-rigid registration using local-affine diffeomorphic demons
MICCAI'11 Proceedings of the Third international conference on Abdominal Imaging: computational and Clinical Applications
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We propose a reliability measure that identifies informative image cues useful for registration, and present a novel, data-driven approach to spatially adapt regularization to the local image content via use of the proposed measure. We illustrate the generality of this adaptive regularization approach within a powerful discrete optimization framework and present various ways to construct a spatially varying regularization weight based on the proposed measure. We evaluate our approach within the registration process using synthetic experiments and demonstrate its utility in real applications. As our results demonstrate, our approach yielded higher registration accuracy than non-adaptive approaches and the proposed reliability measure performed robustly even in the presences of noise and intensity inhomogenity.