Meeting Banner
Abstract #1919

Non-Cartesian Compressed Sensing for Diffusion Spectrum Imaging

Eric Aboussouan1, Luca Marinelli2, Ek Tsoon Tan2

1Barrow Neurological Institute, Phoenix, AZ, United States; 2GE Global Research, Niskayuna, NY, United States

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.