0111
Incoherent k-q Under-sampled Multi-shot EPI for Accelerated Multi-shell Diffusion MRI with Model-based Deep Learning Reconstruction
Merry Mani1, Vincent Magnotta2, and Mathews Jacob2
1Radiology, University of Iowa, Iowa City, IA, United States, 2University of Iowa, Iowa City, IA, United States
We propose a new acceleration & reconstruction method for highly accelerated high resolution multi-shell dMRI. The model-based reconstruction that includes a q-space manifold prior, recovers all q-space data simultaneously, from 8-fold under-sampled data, with minimal artifacts.
The incoherent k-q under-sampling illustrated. Here, the full k-space sampling involves using all the 4 shots (denoted using 4 colors) for every q-space point. In (a), an acceleration of R=4 is achieved by using under-sampled multi-shot trajectory. Specifically, only 1 shot (illustrated using bold lines) is used to sample a given q-space point. Different q-space points are sampled using differnt shots (denoted by the different colors). In (b), an acceleration of R=8 is achieved by skipping half of the points in q-space.
The orientation distribution (row 1) and the neurite density (row 2) computed using the NODDI model for the fully sampled case and the accelerated cases. The average value in the difference map computed with respect to R=1 is less than .06 and .04 and for ODI and NDI respectively for R=4,8.