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.