CTA Image

CTA (Computed Tomography Angiography) image analysis focuses on extracting clinically relevant information from 3D vascular images, primarily aiming for improved diagnosis and treatment planning, particularly in cerebrovascular diseases. Current research emphasizes automated segmentation and centerline extraction of vessels using deep learning architectures like U-Nets and transformers, often incorporating novel techniques such as polar transformations and topology-aware losses to enhance accuracy and efficiency. These advancements enable improved perfusion mapping, prediction of treatment outcomes (e.g., thrombectomy success), and more precise quantification of vascular characteristics, ultimately leading to better patient care and more efficient clinical workflows.