Abstract #2043

Compressed sensing of under-sampled cardiac-CEST images may bias subsequent contrasts measured from endogenous metabolites

Bonnie Lam¹, Michael Wendland², and Moriel Vandsburger¹

¹Department of Bioengineering, University of California, Berkeley, Berkeley, CA, United States, ²Berkeley Preclinical Imaging Core, University of California, Berkeley, Berkeley, CA, United States

While accelerated imaging via compressed sensing reconstruction has been explored in several dynamic contrast settings, incorporation of compressed sensing for accelerated image acquisition has not been fully explored in the setting of CEST. In this study we probed how reconstruction of increasingly under-sampled CEST-MRI data using various compressed sensing methods inserted bias into resultant z-spectra and measured CEST contrasts.

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