Hierarchical Chamfer Matching: A Parametric Edge Matching Algorithm
IEEE Transactions on Pattern Analysis and Machine Intelligence
Multiresolution elastic matching
Computer Vision, Graphics, and Image Processing
Computation of component image velocity from local phase information
International Journal of Computer Vision
Steerable filters and local analysis of image structure
Steerable filters and local analysis of image structure
Performance of optical flow techniques
International Journal of Computer Vision
Reliable and Efficient Computation of Optical Flow
International Journal of Computer Vision
Filtering for Texture Classification: A Comparative Study
IEEE Transactions on Pattern Analysis and Machine Intelligence
Signal Processing for Computer Vision
Signal Processing for Computer Vision
MICCAI '98 Proceedings of the First International Conference on Medical Image Computing and Computer-Assisted Intervention
Non-rigid Multimodal Image Registration Using Mutual Information
MICCAI '98 Proceedings of the First International Conference on Medical Image Computing and Computer-Assisted Intervention
A Comparison of Simularity Measures for use in 2D-3D Medical Image Registration
MICCAI '98 Proceedings of the First International Conference on Medical Image Computing and Computer-Assisted Intervention
The Correlation Ratio as a New Similarity Measure for Multimodal Image Registration
MICCAI '98 Proceedings of the First International Conference on Medical Image Computing and Computer-Assisted Intervention
A New Approach to Fast Elastic Alignment with Applications to Human Brain
VBC '96 Proceedings of the 4th International Conference on Visualization in Biomedical Computing
Fast Fluid Registration of Medical Images
VBC '96 Proceedings of the 4th International Conference on Visualization in Biomedical Computing
A Level-Set Based Approach to Image Registration
MMBIA '00 Proceedings of the IEEE Workshop on Mathematical Methods in Biomedical Image Analysis
Gabor wavelets for 3-D object recognition
ICCV '95 Proceedings of the Fifth International Conference on Computer Vision
Robust Multi-Sensor Image Alignment
ICCV '98 Proceedings of the Sixth International Conference on Computer Vision
Optimization of mutual information for multiresolution image registration
IEEE Transactions on Image Processing
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Fusing of multi-modal data involves automatically estimating the coordinate transformation required to align the multi-modal image data sets. Most existing methods in literature are not fast enough for practical use (taking more than 30 min to 1 h for estimating non-rigid deformations). We propose a very fast algorithm based on matching local-frequency image representations, which naturally allows for processing the data at different scales or resolutions, a very desirable property from a computational efficiency view point. For the rigid motion case, this algorithm involves minimizing - over all rigid transformations - the expectation of the squared difference between the local-frequency representations of the source and target images. In the non-rigid deformations case, we propose to approximate the non-rigid motion by piece-wise rigid motions and use a novel and fast PDE-based morphing technique that estimates this non-rigid alignment. We present implementation results for synthesized and real (rigid) misalignments between CT and MR brain scans. In both the cases, we validate our results against ground truth registrations which for the former case are known and for the latter are obtained from manual registration performed by an expert. Currently, these manual registrations are used in daily clinical practice. Finally, we present examples of non-rigid registration between T1-weighted MR and T2-weighted MR brain images wherein validation is only qualitatively achieved. Our algorithm's performance is comparable to the results obtained from algorithms based on mutual information in the context of accuracy of estimated rigid transforms but is much faster in computational speed.