Research progress on cardiovascular hemodynamic assessment based on computational fluid dynamics
- VernacularTitle:计算流体力学在心血管疾病评估中的应用及进展
- Author:
Shengyi HU
1
;
Jing SUN
2
;
Xiaohong HUANG
1
;
Zhe ZHENG
2
Author Information
1. 1.Department of Cardiovascular Surgery, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, 100037, P. R. China 2. 4+4 Medical Doctor Program, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, 100730, P. R. China
2. Department of Cardiovascular Surgery, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, 100037, P. R. China
- Publication Type:Journal Article
- Keywords:
Computational fluid dynamics;
hemodynamics;
cardiovascular imaging techniques;
parameters;
machine learing;
artificial intelligence;
review
- From:
Chinese Journal of Clinical Thoracic and Cardiovascular Surgery
2024;31(02):319-324
- CountryChina
- Language:Chinese
-
Abstract:
Hemodynamics plays a vital role in the development and progression of cardiovascular diseases, and is closely associated with changes in morphology and function. Reliable detection of hemodynamic changes is essential to improve treatment strategies and enhance patient prognosis. The combination of computational fluid dynamics with cardiovascular imaging technology has extended the accessibility of hemodynamics. This review provides a comprehensive summary of recent developments in the application of computational fluid dynamics for cardiovascular hemodynamic assessment and a succinct discussion for potential future development.
