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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 visual image quality of breath-hold 3D MRCP with Fast 3D mode compares favorably with conventional respiratory-triggered 3D MRCP in 1.5T MRI, and can be improved with a denoising approach, with deep learning-based reconstruction.
Figure 3. Representative MIP images of MRCP.
Figure 4. Overall image quality and duct visibility assessment. All values are expressed as the mean ± SD. The dDLR-BH scores for overall image quality, RHD, and LHD were significantly higher than BH (*).