Reproducibility Study of Magnetic Resonance Image-Based Computational Fluid Dynamics Prediction of Carotid Bifurcation Flow

2003 ◽  
Vol 31 (2) ◽  
pp. 142-151 ◽  
Author(s):  
F. P. Glor ◽  
Q. Long ◽  
A. D. Hughes ◽  
A. D. Augst ◽  
B. Ariff ◽  
...  
Keyword(s):  
Fluid Dynamics ◽  
Computational Fluid Dynamics ◽  
Magnetic Resonance ◽  
Magnetic Resonance Image ◽  
Carotid Bifurcation ◽  
Reproducibility Study

Preliminary study of hemodynamics in human carotid bifurcation by computational fluid dynamics combined with magnetic resonance angiography

2007 ◽  
Vol 48 (7) ◽  
pp. 788-797 ◽  
Author(s):  
Yunjing Xue ◽  
Peyi Gao ◽  
Yan Lin ◽  
Chengbo Dai
Keyword(s):  
Fluid Dynamics ◽  
Computational Fluid Dynamics ◽  
Magnetic Resonance ◽  
Carotid Arteries ◽  
Carotid Bifurcation ◽  
Outer Wall ◽  
Vascular Imaging ◽  
Hemodynamic Variables ◽  
Systolic Phase

Background: A longstanding hypothesis that correlates fluid dynamic forces and atherosclerotic disease has led to numerous analytical, numerical, and experimental studies over the years because it is very difficult to measure the hemodynamic variables of blood in vivo. Purpose: To investigate the technique of visualization and quantitation of hemodynamic variables at carotid artery bifurcation in vivo by combining computational fluid dynamics (CFD) and vascular imaging. Material and Methods: Twenty-six healthy volunteers underwent magnetic resonance (MR) angiography of the bilateral carotid artery by a 3.0T whole-body scanner. Hemodynamic variables at these carotid bifurcations were calculated and visualized by combining vascular imaging post-processing and CFD. Results: The average velocity of the carotid bifurcation in the systolic phase and the diastolic phase was 0.46±0.24 m/s and 0.23±0.05 m/s, respectively. Eddy current and back flows were observed at bifurcation and the lateral part of the proximal internal carotid arteries (ICA) and external carotid arteries (ECA), and the shapes of them changed with phases of the cardiac cycle, which were significant at the middle of the systolic phase and faded out quickly downstream of the ICA and ECA. The average range of wall shear stress (WSS) at the bifurcation was 4.36±1.32 Pa, and the maximum WSS was 18.02±4.11 Pa. The WSS map revealed a large region of low WSS at the carotid bulb and extended to the outer wall in the proximal end of the ICA (the lowest value was below 0.5 Pa), and there was also a small region of low WSS at the outer wall in the proximal end of the ECA. Conclusion: CFD combined with vascular imaging can calculate and visualize hemodynamic variables at carotid bifurcation in vivo individually.

scholarly journals Inter-operator Reliability of Magnetic Resonance Image-Based Computational Fluid Dynamics Prediction of Cerebrospinal Fluid Motion in the Cervical Spine

2015 ◽  
Vol 44 (5) ◽  
pp. 1524-1537 ◽  
Author(s):  
Bryn A. Martin ◽  
Theresia I. Yiallourou ◽  
Soroush Heidari Pahlavian ◽  
Suraj Thyagaraj ◽  
Alexander C. Bunck ◽  
...  
Keyword(s):  
Fluid Dynamics ◽  
Computational Fluid Dynamics ◽  
Cerebrospinal Fluid ◽  
Cervical Spine ◽  
Magnetic Resonance ◽  
Magnetic Resonance Image ◽  
Fluid Motion
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