Principal Warps: Thin-Plate Splines and the Decomposition of Deformations
IEEE Transactions on Pattern Analysis and Machine Intelligence
3-D Moment Forms: Their Construction and Application to Object Identification and Positioning
IEEE Transactions on Pattern Analysis and Machine Intelligence
Spatial transformation and registration of brain images using elastically deformable models
Computer Vision and Image Understanding
Elastic matching of diffusion tensor images
Computer Vision and Image Understanding - Special issue on analysis of volumetric image
Shape versus Size: Improved Understanding of the Morphology of Brain Structures
MICCAI '01 Proceedings of the 4th International Conference on Medical Image Computing and Computer-Assisted Intervention
Brain Atlas Deformation in the Presence of Large Space-occupying Tumors
MICCAI '99 Proceedings of the Second International Conference on Medical Image Computing and Computer-Assisted Intervention
MICCAI '98 Proceedings of the First International Conference on Medical Image Computing and Computer-Assisted Intervention
Non-Rigid Matching Using Demons
CVPR '96 Proceedings of the 1996 Conference on Computer Vision and Pattern Recognition (CVPR '96)
A new point matching algorithm for non-rigid registration
Computer Vision and Image Understanding - Special issue on nonrigid image registration
3D brain surface matching based on geodesics and local geometry
Computer Vision and Image Understanding - Special issue on nonrigid image registration
Non-rigid Image Registration Using Geometric Features and Local Salient Region Features
CVPR '06 Proceedings of the 2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition - Volume 1
Learning best features and deformation statistics for hierarchical registration of MR brain images
IPMI'07 Proceedings of the 20th international conference on Information processing in medical imaging
Deformable registration of brain tumor images via a statistical model of tumor-induced deformation
MICCAI'05 Proceedings of the 8th international conference on Medical image computing and computer-assisted intervention - Volume Part II
CLASSIC: consistent longitudinal alignment and segmentation for serial image computing
IPMI'05 Proceedings of the 19th international conference on Information Processing in Medical Imaging
A robust hybrid method for nonrigid image registration
Pattern Recognition
Hierarchical vs. simultaneous multiresolution strategies for nonrigid image registration
WBIR'12 Proceedings of the 5th international conference on Biomedical Image Registration
Optimized hierarchical block matching for fast and accurate image registration
Image Communication
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A new approach, based on the hierarchical soft correspondence detection, has been presented for significantly improving the speed of our previous HAMMER image registration algorithm. Currently, HAMMER takes a relative long time, e.g., up to 80min, to register two regular sized images using Linux machine (with 2.40GHz CPU and 2-Gbyte memory). This is because the results of correspondence detection, used to guide the image warping, can be ambiguous in complex structures and thus the image warping has to be conservative and accordingly takes long time to complete. In this paper, a hierarchical soft correspondence detection technique has been employed to detect correspondences more robustly, thereby allowing the image warping to be completed straightforwardly and fast. By incorporating this hierarchical soft correspondence detection technique into the HAMMER registration framework, both the robustness and the accuracy of registration (in terms of low average registration error) can be achieved. Experimental results on real and simulated data show that the new registration algorithm, based on the hierarchical soft correspondence detection, can run nine times faster than HAMMER while keeping the similar registration accuracy.