Advances in DSA image analysis technology for evaluating cerebrovascular disease
10.3969/j.issn.1672-5921.2025.01.007
- VernacularTitle:基于DSA的图像分析技术对脑血管疾病评估作用的研究进展
- Author:
Zhiruo SONG
1
;
Kangmo HUANG
;
Wusheng ZHU
;
Xinfeng LIU
Author Information
1. 210002 南京医科大学金陵临床医学院(东部战区总医院)神经内科
- Publication Type:Journal Article
- Keywords:
Angiography,digital subtraction;
Cerebrovascular disorders;
Hemodynamics;
Vascular segmentation;
Imaging fusion;
Review
- From:
Chinese Journal of Cerebrovascular Diseases
2025;22(1):42-48
- CountryChina
- Language:Chinese
-
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.
