Joint k-q Space Compressed Sensing for Accelerated Multi-Shell Acquisition and Reconstruction of the diffusion signal and Ensemble Average Propagator
Jian Cheng 1 , Dinggang Shen 1 , and Pew-Thian Yap 1
University of North Carolina at Chapel Hill,
chapel Hill, NC, United States
In this work, we propose a unified compressed sensing
framework to reconstruct the diffusion signals and
propagators from raw data sub-sampled from both q-space
and k-space. With the proposed method, we can reduce
scanning time in both k-space and q-space, and obtain
good reconstruction quality with low RMSE compared to
the estimation using fully sampled data.
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