Compressed Sensing Based Diffusion Spectrum Imaging (CS-DSI) Tractography

Namgyun Lee¹, Bryce Wilkins¹, Manbir Singh¹

A novel compressed sensing approach for Diffusion Spectrum Imaging incorporating a unique sampling pattern is presented. This approach relies on minimizing the l1 norm of spatial finite-differences of an ensemble average propagator. Results of simulation studies show significant improvements with our approach compared to partial Fourier approach for accurately estimating underlying crossing fibers and reducing false positives. Human tractography studies show recovery of the cingulum, fornix, and other tracts in crossing-fiber areas with quality comparable to a fully-sampled reference (DSI203).