This method enhances image quality in cardiac cine imaging by eliminating breath-holding, suggesting better outcomes for patients with motion artifacts.
Key Points
Our approach significantly improves image quality in patients unable to hold their breath, leading to better results.
By leveraging k-space uniformity and data correlations, we provide robust motion-resolved imaging for cardiac assessments.
Eliminating the breath-holding requirement enhances comfort and reliability during scans for individuals with limited capacity.
The technique shows excellent myocardial wall delineation, which is crucial for accurate cardiac evaluations.