System for Integrated Neuroimaging Analysis and Processing of Structure
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Mapping brain structure in relation to neurological development, function, plasticity, and disease is widely considered to be one of the most essential challenges for opening new lines of neuro-scientific inquiry. Recent developments with MRI analysis of structural connectivity, anatomical brain segmentation, cortical surface parcellation, and functional imaging have yielded fantastic advances in our ability to probe the neurological structure-function relationship in vivo. To date, the image analysis efforts in each of these areas have typically focused on a single modality. Here, we extend the cortical reconstruction using implicit surface evolution (CRUISE) methodology to perform efficient, consistent, and topologically correct analyses in a natively multi-parametric manner. This effort combines and extends state-of-the-art techniques to simultaneously consider and analyze structural and diffusion information alongside quantitative and functional imaging data. Robust and consistent estimates of the cortical surface extraction, cortical labeling, diffusion-inferred contrasts, diffusion tractography, and subcortical parcellation are demonstrated in a scan-rescan paradigm. Accompanying this demonstration, we present a fully automated software system complete with validation data.
KeywordsBrain MRI Cortical surface White matter parcellation Fiber tracking Sub-cortical segmentation
The authors are appreciative of the careful feedback from the anonymous reviewers and editor (Dr. David Kennedy). This research was supported by NIH/NIA N01-AG-4-0012, NINDS 5R01NS070906, 1R03EB012461, 1R01NS056307, NIH/NIDAK25DA025356 (Bazin), and NIH/NINDSR01NS054255 (Pham).
J. L. Prince/B. A. Landman (subcontract): NIH/NIA N01-AG-4-0012, J. Prince: 1R01NS056307, B. Landman 1R03EB012461.
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