Multiresolution elastic matching
Computer Vision, Graphics, and Image Processing
Variational Methods for Multimodal Image Matching
International Journal of Computer Vision
Symmetrical Dense Optical Flow Estimation with Occlusions Detection
ECCV '02 Proceedings of the 7th European Conference on Computer Vision-Part I
Non-rigid Multimodal Image Registration Using Mutual Information
MICCAI '98 Proceedings of the First International Conference on Medical Image Computing and Computer-Assisted Intervention
MICCAI '00 Proceedings of the Third International Conference on Medical Image Computing and Computer-Assisted Intervention
A Fourier Domain Framework for Variational Image Registration
Journal of Mathematical Imaging and Vision
Novel Strategies for the Optimal Registration of Biomedical Images
IWINAC '07 Proceedings of the 2nd international work-conference on Nature Inspired Problem-Solving Methods in Knowledge Engineering: Interplay Between Natural and Artificial Computation, Part II
Prostate Biopsy Assistance System with Gland Deformation Estimation for Enhanced Precision
MICCAI '09 Proceedings of the 12th International Conference on Medical Image Computing and Computer-Assisted Intervention: Part I
A New Algorithm for Inverse Consistent Image Registration
ISVC '09 Proceedings of the 5th International Symposium on Advances in Visual Computing: Part I
Transrectal ultrasound prostate biopsy tracking with efficient and accurate deformation estimation
ISBI'09 Proceedings of the Sixth IEEE international conference on Symposium on Biomedical Imaging: From Nano to Macro
A fast B-spline pseudo-inversion algorithm for consistent image registration
CAIP'07 Proceedings of the 12th international conference on Computer analysis of images and patterns
Optimal parameters selection for non-parametric image registration methods
ACIVS'06 Proceedings of the 8th international conference on Advanced Concepts For Intelligent Vision Systems
Hi-index | 0.10 |
In this paper, a novel variational approach for multi-modal image registration based on consistent non-rigid transforms is proposed. The forward and backward transforms are computed in a variational framework simultaneously. A consistency energy is added into the variational registration framework and an iterative method assures that the forward and backward transforms are close approximate inverses of each other. This new scheme can provide more constraints on the forward and backward transforms and make them smoother. This reduces the chance of being stuck into a local minimum. We can incorporate the consistent transforms together with several kinds of information based similarity metrics such as mutual information and correlation ratio into the registration framework. An implicit finite difference scheme is used to solve the Euler-Lagrange equation numerically. Our proposed method is evaluated by using simulated multi-modal magnetic resonance images (MRI) and real medical images. The results of our proposed consistent registration and those using only forward or backward registration are compared. Improvements at the edge area can be easily seen from the registration results.