Volumetric arterial wall shear stress calculation based on cine phase contrast MRI

2014 ◽  
Vol 41 (2) ◽  
pp. 505-516 ◽  
Author(s):  
Wouter V. Potters ◽  
Pim van Ooij ◽  
Henk Marquering ◽  
Ed vanBavel ◽  
Aart J. Nederveen
PLoS ONE ◽  
2016 ◽  
Vol 11 (9) ◽  
pp. e0163316 ◽  
Author(s):  
Merih Cibis ◽  
Wouter V. Potters ◽  
Frank J. Gijsen ◽  
Henk Marquering ◽  
Pim van Ooij ◽  
...  

2013 ◽  
Vol 38 (4) ◽  
pp. 876-884 ◽  
Author(s):  
Pim van Ooij ◽  
Wouter V. Potters ◽  
Annetje Guédon ◽  
Joppe J. Schneiders ◽  
Henk A. Marquering ◽  
...  

Angiology ◽  
2009 ◽  
Vol 60 (4) ◽  
pp. 441-447 ◽  
Author(s):  
Sanjay Misra ◽  
Alex A. Fu ◽  
Khamal D. Misra ◽  
James F. Glockner ◽  
Debabrata Mukhopadhyay

Purpose The purpose of the present article was to determine the changes in luminal vessel area, blood flow, and wall shear stress in both the inflow artery and the venous stenosis of arteriovenous polytetrafluoroethylene (PTFE) grafts. Methods and materials Polytetrafluoroethylene grafts were placed from the carotid artery to the ipsilateral jugular vein in 8 castrated juvenile male pigs. Contrast-enhanced magnetic resonance angiography (MRA) with cine phase-contrast magnetic resonance imaging (MRI) was performed 2 weeks after graft placement. Results The mean wall shear stress at the venous stenosis was 4 times higher than the control vein, while the inflow artery was only 2-fold higher. By day 14, venous stenosis had formed, which was characterized by narrowed area and elevated blood flow. Conclusion By day 14, there is venous stenosis formation in porcine arteriovenous PTFE grafts with increased shear stress with decreased area when compared to control vein.


2017 ◽  
Vol 2017 ◽  
pp. 1-8 ◽  
Author(s):  
Kap-Soo Han ◽  
Sang Hyuk Lee ◽  
Han Uk Ryu ◽  
Se-Hyoung Park ◽  
Gyung-Ho Chung ◽  
...  

The aim of the study was to calculate the arterial wall signal intensity gradient (SIG) from time-of-flight MR angiography (TOF-MRA) and represent arterial wall shear stress. We developed a new algorithm that uses signal intensity (SI) of a TOF-MRA to directly calculate the signal intensity gradient (SIG). The results from our phantom study showed that the TOF-MRA SIG could be used to distinguish the magnitude of blood flow rate as high (mean SIG ± SD, 2.2 ± 0.4 SI/mm for 12.5 ± 2.3 L/min) and low (0.9 ± 0.3 SI/mm for 8.5 ± 2.6 L/min) in vessels (p<0.001). Additionally, we found that the TOF-MRA SIG values were highly correlated with various flow rates (β=0.96, p<0.001). Remarkably, the correlation coefficient between the WSS obtained from the computational fluid dynamics (CFD) analysis and the TOF-MRA SIG was greater than 0.8 in each section at the carotid artery (p<0.001 for all β values). This new technique using TOF-MRA could enable the rapid calculation of the TOF-MRA SIG and thereby the WSS. Thus, the TOF-MRA SIG can provide clinicians with an accurate and efficient screening method for making rapid decisions on the risk of vascular disease for a patient in clinical practice.


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