A Computational Approach to Edge Detection
IEEE Transactions on Pattern Analysis and Machine Intelligence
Non-Rigid Matching Using Demons
CVPR '96 Proceedings of the 1996 Conference on Computer Vision and Pattern Recognition (CVPR '96)
Hybrid Image Registration based on Configural Matching of Scale-Invariant Salient Region Features
CVPRW '04 Proceedings of the 2004 Conference on Computer Vision and Pattern Recognition Workshop (CVPRW'04) Volume 11 - Volume 11
Diffeomorphic Matching of Diffusion Tensor Images
CVPRW '06 Proceedings of the 2006 Conference on Computer Vision and Pattern Recognition Workshop
Image registration by local histogram matching
Pattern Recognition
Nonlinear registration of diffusion MR images based on fiber bundles
MICCAI'07 Proceedings of the 10th international conference on Medical image computing and computer-assisted intervention - Volume Part I
IPMI '09 Proceedings of the 21st International Conference on Information Processing in Medical Imaging
Diffusion Tensor Field Registration in the Presence of Uncertainty
MICCAI '09 Proceedings of the 12th International Conference on Medical Image Computing and Computer-Assisted Intervention: Part I
Fast Tensor Image Morphing for Elastic Registration
MICCAI '09 Proceedings of the 12th International Conference on Medical Image Computing and Computer-Assisted Intervention: Part I
Belief Propagation Based Segmentation of White Matter Tracts in DTI
MICCAI '09 Proceedings of the 12th International Conference on Medical Image Computing and Computer-Assisted Intervention: Part I
Diffusion-based population statistics using tract probability maps
MICCAI'10 Proceedings of the 13th international conference on Medical image computing and computer-assisted intervention: Part I
White matter bundle registration and population analysis based on Gaussian processes
IPMI'11 Proceedings of the 22nd international conference on Information processing in medical imaging
Diffusion tensor image registration with combined tract and tensor features
MICCAI'11 Proceedings of the 14th international conference on Medical image computing and computer-assisted intervention - Volume Part II
Constructing fiber atlases for functional ROIs via fMRI-Guided DTI image registration
MBIA'12 Proceedings of the Second international conference on Multimodal Brain Image Analysis
Fast diffusion tensor registration with exact reorientation and regularization
MICCAI'12 Proceedings of the 15th international conference on Medical Image Computing and Computer-Assisted Intervention - Volume Part II
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This paper presents a method for deformable registration of diffusion tensor (DT) images that integrates geometry and orientation features into a hierarchical matching framework. The geometric feature is derived from the structural geometry of diffusion and characterizes the shape of the tensor in terms of prolateness, oblateness, and sphericity of the tensor. Local spatial distributions of the prolate, oblate, and spherical geometry are used to create an attribute vector of geometric feature for matching. The orientation feature improves the matching of the WM fiber tracts by taking into account the statistical information of underlying fiber orientations. These features are incorporated into a hierarchical deformable registration framework to develop a diffusion tensor image registration algorithm. Extensive experiments on simulated and real brain DT data establish the superiority of this algorithm for deformable matching of diffusion tensors, thereby aiding in atlas creation. The robustness of the method makes it potentially useful for group-based analysis of DT images acquired in large studies to identify disease-induced and developmental changes.