Cine Cardiac Magnetic Resonance

Cine cardiac magnetic resonance (CMR) imaging aims to rapidly and accurately assess heart function and structure. Current research heavily focuses on accelerating acquisition times through techniques like k-space undersampling and free-breathing scans, often employing deep learning models (e.g., convolutional neural networks, neural fields, and attention mechanisms) for image reconstruction and segmentation. These advancements improve patient comfort and workflow efficiency while addressing challenges like motion artifacts and race bias in AI-driven analysis, ultimately leading to more efficient and reliable cardiac assessments.