Meeting Banner
Abstract #3966

Implications of MRSI Compressed Sensing Reconstruction on Spatial Resolution Using a Modified Technique

Keith Wachowicz1, 2, Amr Heikal3, B. Gino Fallone, 24

1Oncology, University of Alberta, Edmonton, Alberta, Canada; 2Medical Physics, Cross Cancer Institute, Edmonton, Alberta, Canada; 3Physics, University of Alberta, Edmonton, Alberta, Canada; 4Physics and Oncology, University of Alberta, Edmonton, Alberta, Canada

The implications of compressed sensing (CS) reconstruction in spectroscopic imaging on spatial resolution have not been quantitatively investigated in the literature. Modulation transfer analyis in this work is used to demonstrate that dramatic loss of modulation transfer across the range of spatial frequencies can occur with CS. A modification to the CS algorithm (CMaCS) involving further constraints on the randomization of k-space and mapping of unpaired conjugate data is introduced and shown to recover much of this lost modulation.