Abstract #1152

Super-resolution mean diffusivity spectroscopic MRI in the human brain

Alexandru V Avram^1,2, Magdoom Kulam¹, Joelle E Sarlls³, Raisa Freidlin⁴, and Peter J Basser¹

¹Eunice Kennedy Shriver National Institute of Child Health and Human Development, National Institutes of Health, Bethesda, MD, United States, ²Center for Neuroscience and Regenerative Medicine, The Henry Jackson Foundation, Bethesda, MD, United States, ³National Institute of Neurological Disorders and Stroke, National Institutes of Health, Bethesda, MD, United States, ⁴Center for Information Technology, National Institutes of Health, Bethesda, MD, United States

Synopsis

We describe a comprehensive pipeline for super-resolution reconstruction of clinical diffusion-weighted MRIs acquired with isotropic diffusion encoding (IDE), or spherical tensor encoding. The pipeline integrates blip-up/down EPI distortion correction and slice-to-volume registration (SVR). Multiple low-resolution IDE-MRIs with different slice orientations relative to the brain are processed to reconstruct high-resolution IDE-MRIs. From high-resolution IDE-MRIs with a wide range of b-values we estimate spectra of subvoxel MD values to describe the distribution of water mobilities in microscopic brain tissue microenvironments. Integrating SVR-reconstruction with IDE is an important step in the clinical translation of MD spectroscopic MRI for fetal MRI applications.

This abstract and the presentation materials are available to members only; a login is required.

Join Here