Advances in DSA image analysis technology for evaluating cerebrovascular disease
Song Zhiruo
Huang Kangmo
Zhu Wusheng
Liu Xinfeng
Abstract：DSA is an essential technology for diagnosing and treating cerebrovascular diseases.Detailed vascular structures and hemodynamic information can be acquired through image post-processing technology from raw DSA images.Presently,DSA image analysis technology encompasses several methodologies,including automatic vascular segmentation and feature extraction,hemodynamic parameter derivation,and more intricate multimodal imaging fusion.This review elaborated on the development status of these techniques at the current stage and their probable application in clinical practice.
Keywords：Angiographydigital subtractionCerebrovascular disordersHemodynamicsVascular segmentationImaging fusionReview
Publication Date：2025-01-27
Online Publishing Date：2025-08-15(First online date of this platform, not the publication date of the document)
Pages：7( 42-48 )