Nonlinear total variation based noise removal algorithms
Proceedings of the eleventh annual international conference of the Center for Nonlinear Studies on Experimental mathematics : computational issues in nonlinear science: computational issues in nonlinear science
A survey of image registration techniques
ACM Computing Surveys (CSUR)
A multigrid tutorial: second edition
A multigrid tutorial: second edition
Multigrid
Landmark-Based Image Analysis: Using Geometric and Intensity Models
Landmark-Based Image Analysis: Using Geometric and Intensity Models
Computational Methods for Inverse Problems
Computational Methods for Inverse Problems
Non-Rigid Matching Using Demons
CVPR '96 Proceedings of the 1996 Conference on Computer Vision and Pattern Recognition (CVPR '96)
Relaxing the Brightness Constancy Assumption in Computing Optical Flow
Relaxing the Brightness Constancy Assumption in Computing Optical Flow
Insight into Images: Principles and Practice for Segmentation, Registration, and Image Analysis
Insight into Images: Principles and Practice for Segmentation, Registration, and Image Analysis
A Multilevel Method for Image Registration
SIAM Journal on Scientific Computing
Image Registration with Guaranteed Displacement Regularity
International Journal of Computer Vision
Mathematical Models for Registration and Applications to Medical Imaging (Mathematics in Industry / The European Consortium for Mathematics in Industry)
An Octree Method for Parametric Image Registration
SIAM Journal on Scientific Computing
Adaptive Mesh Refinement for Nonparametric Image Registration
SIAM Journal on Scientific Computing
Augmented Lagrangian Method, Dual Methods and Split Bregman Iteration for ROF Model
SSVM '09 Proceedings of the Second International Conference on Scale Space and Variational Methods in Computer Vision
Image Registration under Varying Illumination: Hyper-Demons Algorithm
EMMCVPR '09 Proceedings of the 7th International Conference on Energy Minimization Methods in Computer Vision and Pattern Recognition
A General PDE-Framework for Registration of Contrast Enhanced Images
MICCAI '09 Proceedings of the 12th International Conference on Medical Image Computing and Computer-Assisted Intervention: Part I
De-enhancing the dynamic contrast-enhanced breast MRI for robust registration
MICCAI'07 Proceedings of the 10th international conference on Medical image computing and computer-assisted intervention - Volume Part I
Fair: Flexible Algorithms for Image Registration
Fair: Flexible Algorithms for Image Registration
Combining homogenization and registration
WBIR'06 Proceedings of the Third international conference on Biomedical Image Registration
| Hi-index | 0.00 |
We develop a new efficient numerical methodology for automated simultaneous registration and intensity correction of images. The approach separates the intensity correction term from the images being registered in a regularized expression. Our formulation is consistent with the existing non-parametric image registration techniques, however, an extra additive intensity correction term is carried throughout. An objective functional is formed for which the corresponding Hessian and Jacobian is computed and employed in a multi-level Gauss-Newton minimization approach. In this paper, our experiments are based on elastic regularization on the transformation and total variation on the intensity correction. Validations on dynamic contrast enhanced MR abdominal images for both real and simulated data verified the efficacy of the model. The pursued approach is flexible in which we can exploit various forms of regularization on the transformation and the intensity correction.