资源类型:
期刊
收录情况:
◇ 统计源期刊
◇ 北大核心
◇ CSCD-C
文章类型:
论著
机构:
[a]CT and MR Division, Fujian Medical University Union Hospital, Fuzhou 350001, China
[b]Department of Neuroradiology, Beijing Tiantan Hospital Affiliated to Capital Medical University, Beijing 100050, China
重点科室
医技科室
放射科
放射科
首都医科大学附属天坛医院
出处:
2013,29(3):
ISSN:
1003-3289
关键词:
Carotid arteries
Computational simulation
Hemodynamics
Magnetic resonance imaging
摘要:
Objective: To investigate flow patterns at carotid bifurcation in vivo with combining computational fluid dynamics (CFD) and MR A. Methods: Fifty patients with 100 normal carotid bifurcations proved with DSA or carotid ultrasound underwent contrast-enhanced MRA (CEMRA) of carotid artery. The source images were imported into CFD software to calculate and visualize flow pattern after post-processing and meshed. Flow patterns and eddy shape of bifurcation plane in reduced ejection phase of a cardiac cycle were analyzed. The carotid bifurcation angles were measured with vmtk software. Results: According to the shape of eddy current, the flow patterns could be classified as non-eddy type (n=8), one eddy type (n=25), two-eddy type (n=61) and multiple-eddy type (n=6). There were four types in bifurcation geometry based on the bifurcation angle and diameter of bifurcation, i.e. small bulb with small bifurcation angle (n=14), small bulb with big bifurcation angle (n=5), big bulb with small bifurcation angle (n=49) and big bulb with big bifurcation angle (n=32). The more big bifurcation angle and bulb, the more complicated flow pattern was observed at carotid bifurcation. Conclusion: CFD combined with MR angiography can be utilized to visualize and analyze flow patterns and the shape of eddy current of carotid bifurcation, therefore being helpful to understanding the relationship between hemodynamic factors and artherosclerosis. Copyright © 2013 by the Press of Chinese Journal of Medical Imaging Technology.
第一作者:
Xue, Y.-J
推荐引用方式(GB/T 7714):
Xue Y.-J,Gao P.-Y,Lin Y,等.Type of flow patterns of human carotid bifurcation based on computational fluid dynamics and MR angiography[J].2013,29(3):