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Abstract #1108

Adaptive Free-Breathing Motion-Corrected 4D Flow of Liver at 5.0T

Ruiyu Cao1, Shaohang Li1, Aiqi Sun2, Hui Zhang1, Bingyi Wang1, Junpu Hu3, Ne Yang4, Jiayu Zhu3, Xijing Zhang3, Jianmin Yuan3, Hao Li1, and He Wang1
1Institute of Science and Technology for Brain-Inspired Intelligence, Fudan University, Shanghai, China, 2Department of Radiology, Stanford University, Stanford, San Francisco, CA, United States, 3Central Research Institute, United Imaging Healthcare Group, Shanghai, China, 4United Imaging Research Institute of Intelligent Imaging, Beijing, China

Synopsis

Keywords: Motion Correction, Flow, ultra-high field

Motivation: The prolonged acquisition time and challenges in motion control for liver 4D flow imaging limit its clinical application.

Goal(s): To achieve free-breathing liver 4D flow imaging within clinically acceptable scan times utilizing retrospective motion correction.

Approach: Using a compressed sensing undersampling pattern to acquire imaging data, combined with adaptive data selection and motion-corrected reconstruction.

Results: The proposed method enhanced image quality and quantification accuracy, while reducing scan times to 6-8 minutes.

Impact: The proposed motion correction method improved image quality and quantification accuracy, while reducing scan times to a clinically acceptable 6–8 minutes.

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Keywords