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Abstract #4596

Robust Respiratory Motion-Resolved Cardiac Cine Imaging with Variable Initial Value-based Tiny Golden-Angle Radial Trajectory

Jiaojiao Hu1, Xiaohan Hao1, Huabin Zhang1, Yang Ji2, Lin Chen3, and Bensheng Qiu1
1Medical Imaging Center, University of Science and Technology of China, Hefei, China, 2Department of Electronic Engineering and Information Science, University of Science and Technology of China, Hefei, China, 3Anhui Fuging Medical Equipment Co., Ltd., Hefei, China

Synopsis

Keywords: Data Acquisition, Cardiovascular

Motivation: Standard cardiac cine imaging is prone to motion artifacts, especially in patients with limited breath-holding capacity.

Goal(s): Our goal was to eliminate the need for breath-holding in cine imaging, enhancing patient comfort during scans.

Approach: We leveraged data correlations across adjacent respiratory states and the k-space uniformity of different respiratory states to improve cine image quality.

Results: Compared to breath-holding techniques, our approach significantly improves image quality and myocardial wall delineation in subjects who have difficulty holding their breath.

Impact: The proposed novel cardiac cine imaging fully eliminates the requirement of breath-holding, allowing patients to breathe freely throughout the scan. This greatly improves comfort and robustness, making the entire scanning process more patient-friendly and reliable.

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