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Abstract #2123

Motion-Robust, High-SNR Diffusion MRI of the Liver using Optimized Gradient Waveforms and Deep Learning Reconstruction

Yuxin Zhang1,2, Arnaud Guidon3, Xiaoili Zhao4, Gaohong Wu4, Hua Li4, Ruiqi Geng1,2, and Diego Hernando1,2
1Medical Physics, University of Wisconsin Madison, Madison, WI, United States, 2Radiology, University of Wisconsin Madison, Madison, WI, United States, 3GE Healthcare, Boston, MA, United States, 4GE Healthcare, Waukesha, WI, United States

Diffusion MRI of the liver has important applications in the detection of metastatic lesions. Unfortunately, conventional diffusion MRI is highly sensitive to cardiac-induced motion in the left lobe, whereas recently developed motion-robust diffusion MRI methods lead to lower SNR. This work demonstrates the feasibility of combining motion-robust diffusion MRI with DL reconstruction for improved DWI of the liver, including high motion robustness and high SNR. In early-stage evaluation, the combined technique provides excellent motion robustness, quantitative reliability, and high SNR throughout the entire liver, and may have application in the detection and evaluation of metastatic liver lesions.

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