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

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.