Meeting Banner
Abstract #2524

Amide Proton Transfer (APT) Mapping from Undersampled Z-spectra in the Brain Using Deep Learning

Karandeep Cheema1,2, Pei Han1,2, Hui Han1, Yibin Xie1,2, Anthony Christodoulou1,2, and Debiao Li1,2
1Biomedical Imaging Research Institute, Cedars Sinai Medical Center, Los Angeles, CA, United States, 2Department of Bioengineering, University of California, Los Angeles (UCLA), Los Angeles, CA, United States


CEST Imaging requires radio frequency pulses at several frequency offsets to generate CEST maps (APT, NOE, DS, MT). In this study, we aimed to generate APT maps from CEST images of undersampled frequency offsets using deep learning, which can potentially reduce the total scan time of CEST imaging. The Z-spectrum was undersampled by a factor of 3.5 using the Fisher information gain analysis. Fitting results from the proposed method were compared with those from multi-pool fitting with fully sampled Z-spectrum. We have shown that it is feasible to reconstruct APT maps from undersampled, uncorrected CEST images.

This abstract and the presentation materials are available to members only; a login is required.

Join Here