Keywords: Pancreas, Pancreas
Motivation: A clinical 3T MR system is preferably utilized due to higher image quality and better recognition of lesions and anatomy compared to 1.5T MR.
Goal(s): Our goal was to show improved abilities of 1.5T with deep learning reconstruction (DL) in evaluation of the pancreatobiliary regions comparing 3T without DL.
Approach: In 9 patients, image qualities and information of vasculatures and soft tissues of dynamic Gd-contrast images of pancreatobiliary regions on 1.5T with DL were compared to those previously obtained on 3T without DL.
Results: 1.5T systems with DL can provide competitive information to those with 3T systems without DL for the pancreatobiliary regions.
Impact: DL reconstruction can fully utilize a 1.5T MR, providing competitive information to a 3T MR without DL for dynamic contrast studies in the pancreatobiliary regions. This can enhance patient-throughput without major socio-economic investment.
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