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Abstract #1775

Breath-hold 3D MRCP at 1.5T using Fast 3D mode and a deep learning-based noise-reduction technique

Taku Tajima1,2, Hiroyuki Akai3, Koichiro Yasaka3, Rintaro Miyo1, Masaaki Akahane2, Naoki Yoshioka2, 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

The usefulness of breath-hold 3D MRCP at 3T MRI has recently been reported. Moreover, the denoising approach with deep learning-based reconstruction (dDLR) is a novel technique. We assessed the image quality of conventional respiratory-triggered 3D MRCP (Resp) and breath-hold 3D MRCP using Fast 3D mode without and with dDLR (BH, dDLR-BH) at 1.5T, by comparing the overall image quality and duct visibility scores. Breath-hold 3D MRCP compared favorably with respiratory-triggered MRCP at 1.5T. dDLR can improve the overall image quality and duct visibility of breath-hold 3D MRCP, and the visibility of the right and left hepatic ducts was improved statistically.

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