Abstract #2524

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

Karandeep Cheema^1,2, Pei Han^1,2, Hui Han¹, Yibin Xie^1,2, Anthony Christodoulou^1,2, and Debiao Li^1,2

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

Synopsis

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.

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