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A Framework for Joint Analysis of Structural and Diffusion MRIs
This framework addresses the simultaneous alignment and ﬁltering of DWI images to correct eddy current artifacts and the subsequent alignment of those images to structural, T1 MRI to correct for susceptibility artifacts, and this paper demonstrates the importance of performing these corrections. It also shows how a T1-based, group speciﬁc atlas can be used to generate grey-matter regions of interest that can drive subsequent connectivity analyses. The result is a system that can be combined with a variety of tools for MRI analysis for tissue classiﬁcation, morphometry, and cortical parcellation.
- Eddy Current Correction
We implemented the diffusion weighted image (DWI) registration model from the paper of G.K.Rohde et al.
Patient head motion and eddy currents distortion cause artifacts in maps of diffusion parameters computer from DWI. This model corrects these two distortions at the same time including brightness correction.
- "Structural Image Preprocessing"
Preprocess structural images to remove skull, correct bias ﬁeld, normalize intensities, and segment tissue classes (to provide a white matter mask).
- "Group Atlas"
Build a structural atlas from all sub jects’ T1 images. Seed regions for tract endpoints are manually delineated in the structural atlas and then mapped from the atlas to each individual. Automatically segment white matter tracts and quantify diﬀusion properties using volumetric pathway analysis.
- Utah: Ran Tao, Tom Fletcher, Ross Whitaker