Digital Subtraction Angiography

Digital Subtraction Angiography (DSA) is a crucial medical imaging technique used to visualize blood vessels, primarily for diagnosing and treating cerebrovascular diseases. Current research focuses on improving DSA's efficiency and accuracy through AI-driven methods, including deep learning models for image interpolation, segmentation, and motion correction, often incorporating spatiotemporal features and novel architectures like transformers and ConvGRUs. These advancements aim to reduce radiation exposure, enhance diagnostic capabilities, and improve the precision of interventional procedures, ultimately leading to better patient outcomes.