AFNI: software for analysis and visualization of functional magnetic resonance neuroimages
Computers and Biomedical Research
Diffusion MRI Registration Using Orientation Distribution Functions
IPMI '09 Proceedings of the 21st International Conference on Information Processing in Medical Imaging
Unbiased white matter atlas construction using diffusion tensor images
MICCAI'07 Proceedings of the 10th international conference on Medical image computing and computer-assisted intervention
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
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We propose an unbiased implicit-reference group-wise (IRG) image registration method and demonstrate its applications in the construction of a brain white matter fiber tract atlas and the analysis of resting-state functional MRI (fMRI) connectivity. Most image registration techniques pair-wise align images to a selected reference image and group analyses are performed in the reference space, which may produce bias. The proposed method jointly estimates transformations, with an elastic deformation model, registering all images to an implicit reference corresponding to the group average. The unbiased registration is applied to build a fiber tract atlas by registering a group of diffusion tensor images. Compared to reference-based registration, the IRG registration improves the fiber track overlap within the group. After applying the method in the fMRI connectivity analysis, results suggest a general improvement in functional connectivity maps at a group level in terms of larger cluster size and higher average t-scores.