Main algorithm of coronary blood flow and velocity based on angiographic images
- VernacularTitle:基于造影图像的冠脉血流量和速度的测量算法
- Author:
Yan XU
;
Guangshu HU
- Publication Type:Journal Article
- Keywords:
Angiographic image;
Coronary artery;
Blood flow;
Velocity
- From:
International Journal of Biomedical Engineering
2008;31(3):155-158
- CountryChina
- Language:Chinese
-
Abstract:
The severity of coronary artery diseases is assessed based on morphological and functional stenosis.The study Oil detection of coronary artery diseases based on morphological lesions has unveiled its short comings for evaluation of the seriousness of the disease.Therefore,many research groups diagnose the coronary artery diseases by functional stenosis.From functional aspect,studies of x-ray angiography algorithms for blood flow and velocity measurement are potentially clinically important and are an actively researched subject,which Can accurately diagnose the coronary diseases from functional stenosis aspect.Based on the angiographic images,the article describes formulation and characteristics of existing coronary blood flow and velocity techniques such as tracking and computational methods.Tracking methods can be divided into four classes:bolus transport time algorithms,continuous velocity determination from two-dimensional(time-distance)parametric images,contrast traversal distance algorithms,and droplet tracking algorithms.Computational methods can be divided into six classes:indicator-dilution or Stewart-Hamilton method,first-pass distribution analysis,inverted continuity equation algorithms,inverse mass transport problem approach,optical flow type algorithms,and the fluid continuity method.
