Poster
HBP

[P-114-J] Verification of the usefulness of deep learning-based noise-reduction (dDLR) for breath-hold 3D MRCP at 1.5T

^○Taku Tajima^1,2, Hiroyuki Akai³, Haruto Sugawara³, Koichiro Yasaka⁴, Akira Kunimatsu¹, Naoki Yoshioka², Masaaki Akahane², Kuni Ohtomo⁵, Osamu Abe⁴, Shigeru Kiryu² (1.Department of Radiology, International University of Health and Welfare Mita Hospital, 2.Department of Radiology, International University of Health and Welfare Narita Hospital, 3.Department of Radiology, The Institute of Medical Science, The University of Tokyo, 4.Department of Radiology, Graduate School of Medicine, The University of Tokyo, 5.International University of Health and Welfare)