Efficacy of Super-Resolution DLR for Scan Time Reduction with Keeping Image Quality on Female Pelvic MRI as compared with Conventional DLR with ZIP

Motivation: Super-resolution deep learning reconstruction (Precise IQ Engine: PIQE) has a potential to improve spatial resolution and reduce scan time with keeping image quality as compared with conventional deep learning reconstruction (DLR) with ZIP technique. Goal(s): To determine the efficacy of PIQE for scan time reduction with keeping image quality on female pelvic MRI as compared with conventional DLR with ZIP technique. Approach: Acquisition time and image quality were statistically compared between low-spatial resolution protocol with PIQE and standard protocol with conventional DLR and ZIP technique. Results: Mean scan time of PIQE was significantly shorter than that of DLR with ZIP (p<0.001). Impact: PIQE has a potential to reduce scan time and keep image quality with low-spatial resolution protocol as compared with standard protocol reconstructed by DLR with ZIP on female pelvic MRI.