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Abstract #4201

Feasibility of an abdominal thin-slice breath-hold single-shot FSE sequence processed using a deep learning-based noise-reduction approach

Taku Tajima1,2, Hiroyuki Akai3, Koichiro Yasaka4, Akira Kunimatsu1, Masaaki Akahane2, Naoki Yoshioka2, Osamu Abe4, Kuni Ohtomo5, and Shigeru Kiryu2
1Department of Radiology, International University of Health and Welfare Mita Hospital, Tokyo, Japan, 2Department of Radiology, International University of Health and Welfare Narita Hospital, Chiba, Japan, 3Department of Radiology, The Institute of Medical Science, The University of Tokyo, Tokyo, Japan, 4Department of Radiology, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan, 5International University of Health and Welfare, Tochigi, Japan


Single-shot fast spin echo (single-shot FSE) sequence is an accelerated T2-weighted imaging (T2WI) in pancreatic MRI. Fast advanced spin echo (FASE) is one of similar modalities. However, single-shot FSE suffers from image blurring and relatively low tissue contrast. We hypothesized that denoising approach with deep learning-based reconstruction (dDLR) would facilitate accelerated breath-hold thin-slice single-shot FSE MRI. We assessed the image quality of respiratory-triggered FSE T2WI (Resp-FSE) and breath-hold FASE with and without dDLR (BH-dDLR-FASE and BH-FASE, respectively) at 1.5 T. The image quality of BH-dDLR-FASE was superior to BH-FASE and Resp-FSE, and BH-dDLR-FASE had a shorter acquisition time than Resp-FSE.

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