This proposal is devoted to the development and evaluation of novel diffusion spectrum imaging (DSI) sampling schemes based on the use of radial trajectories in q-space. Our preliminary data demonstrate that such schemes lead to more accurate depictions of the orientation distribution function and faster data acquisition times. The potential improvements in data acquisition time are significant and could lead to data acquisition times as short as 5 minutes. Such short data acquisition times should be instrumental in allowing the use and validation of DSI-based tractography algorithms in a clinical setting.
We will develop a clinical tool for assessing the brain's neuronal connection structure. Currently, there are no practical tools available for this purpose and, therefore, the proposed work will improve our ability to diagnose and monitor connection-related-diseases such as autism, concussions and post-traumatic stress syndrome.
|Baete, Steven H; Boada, Fernando E (2018) Accelerated radial diffusion spectrum imaging using a multi-echo stimulated echo diffusion sequence. Magn Reson Med 79:306-316
|Baete, Steven H; Chen, Jingyun; Lin, Ying-Chia et al. (2018) Low Rank plus Sparse decomposition of ODFs for improved detection of group-level differences and variable correlations in white matter. Neuroimage 174:138-152
|Lemberskiy, Gregory; Baete, Steven H; Cloos, Martijn A et al. (2017) Validation of surface-to-volume ratio measurements derived from oscillating gradient spin echo on a clinical scanner using anisotropic fiber phantoms. NMR Biomed 30:
|Baete, Steven H; Yutzy, Stephen; Boada, Fernando E (2016) Radial q-space sampling for DSI. Magn Reson Med 76:769-80