Image Quality Assessment for Population Cardiac Magnetic Resonance Imaging

Editorial: Current and Future Role of Artificial Intelligence in Cardiac Imaging

“…For example, "automated quality control" is expected to enhance the cardiac image analysis workflow as large volumes of research and clinical data become available, and as the demand for AI-driven automation and robustness will increase in clinical practice. Here, it is worth listing a few preliminary works, such as automated quality control of CMR images using a deep learning approach to identify suboptimal image contrast or heart coverage (8). Other works have instead focused on quality control of the final image segmentation results using classical AI (9) or neural networks (10).…”