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Abstract #3515

Diffusion tensor subspace imaging (DiTSI) delineates small fibers and gray matter microstructure invisible to single-encoding techniques

Elizabeth Hutchinson1, Jean-Pierre Galons2, Courtney Comrie1, Seraphina Solders3, Geidy Serrano4, Thomas Beach4, Vitaly Galinsky3, and Lawrence Frank3
1Biomedical Engineering, University of Arizona, Tucson, AZ, United States, 2Medical Imaging, University of Arizona, Tucson, AZ, United States, 3Center for Scientific Computing in Imaging, University of California, San Diego, CA, United States, 4Banner Sun Health, Sun City, AZ, United States

Synopsis

Keywords: Alzheimer's Disease, Diffusion/other diffusion imaging techniques, double diffusion encodingDouble diffusion encoding (DDE) MRI provides unique sensitization to microscale anisotropy although scalar representation of DDE data is challenging. The diffusion tensor subspace imaging (DiTSI) framework generates metrics from DDE images. In this study, post-mortem human brain tissue specimens were imaged and comparative analysis found that DiTSI but not DTI was able to provide distinct contrast in gray matter regions and at the gray/white interface. Additionally, small cranial nerve fibers of the brain stem were detectable using DiTSI, but not DTI or NODDI approaches and also showed remarkable abnormalities in Alzheimer’s disease tissue that were absent for DTI.

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