Abstract #1775

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

Taku Tajima^1,2, 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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