Joint k-q Space Compressed Sensing for Accelerated Multi-Shell Acquisition and Reconstruction of the diffusion signal and Ensemble Average Propagator

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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