Non-Cartesian Compressed Sensing for Diffusion Spectrum Imaging

Eric Aboussouan¹, Luca Marinelli², Ek Tsoon Tan²

Diffusion Spectrum Imaging (DSI) can be accelerated the application of compressed sensing (CS) in the three q-space dimensions. Rather than sampling a subset of a Cartesian q-space, we propose to further minimize coherent aliasing by undersampling q-space according to a non-Cartesian sampling pattern. Simulation and preliminary in vivo results are shown suggesting the validity of the approach.