Optimization of MR phase-contrast-based flow velocimetry and shear stress measurements
- PMID: 20039134
- DOI: 10.1007/s10554-009-9572-9
Optimization of MR phase-contrast-based flow velocimetry and shear stress measurements
Abstract
This study was designed to measure the pixel-by-pixel flow velocity and shear stress from phase-contrast MR images. An optimized method was suggested and the use of the method was confirmed. A self-developed, straight steady flow model system was scanned by MRI with a velocity-encoded phase-contrast sequence. In-house developed software was used for the pixel-by-pixel flow velocity and shear stress measurements and the measurements were compared with physically measured mean velocity and shear stress. A comparison between the use of the in-house velocimetry software and a commercial velocimetry system was also performed. Curved steady flow models were scanned by phase-contrast MRI. Subsequently, velocity and shear stress were measured to confirm the shifted peak flow velocity and shear stress toward the outer side of the lumen. Peak velocity and shear stress were calculated for both the inner and outer half of the lumen and were statistically compared. The mean velocity measured with the use of in-house software had a significant correlation with the physical measurements of mean velocity; in addition, the measurement was more precise compared to the commercial system (R(2) = 0.85 vs. 0.75, respectively). The calculated mean shear stress had a significant correlation with the physical measurements of mean shear stress (R(2) = 0.95). The curved flow model showed a significantly shifted peak velocity and shear stress zones toward the outside of the flow (P < 0.0001). The technique to measure pixel-by-pixel velocity and shear stress of steady flow from velocity-encoded phase-contrast MRI was optimized. This technique had a good correlation with physical measurements and was superior to a commercially available system.
Similar articles
-
Effects of arterial blood flow on walls of the abdominal aorta: distributions of wall shear stress and oscillatory shear index determined by phase-contrast magnetic resonance imaging.Heart Vessels. 2016 Jul;31(7):1168-75. doi: 10.1007/s00380-015-0758-x. Epub 2015 Oct 19. Heart Vessels. 2016. PMID: 26481791
-
Hemodynamics of human carotid artery bifurcations: computational studies with models reconstructed from magnetic resonance imaging of normal subjects.J Vasc Surg. 1998 Jul;28(1):143-56. doi: 10.1016/s0741-5214(98)70210-1. J Vasc Surg. 1998. PMID: 9685141
-
Comparative velocity investigations in cerebral arteries and aneurysms: 3D phase-contrast MR angiography, laser Doppler velocimetry and computational fluid dynamics.NMR Biomed. 2009 Oct;22(8):795-808. doi: 10.1002/nbm.1389. NMR Biomed. 2009. PMID: 19412933
-
Angiographic methods for the study of fluid mechanical factors in atherogenesis.Acta Radiol Suppl. 1992;380:1-38. Acta Radiol Suppl. 1992. PMID: 1414424 Review.
-
4D flow MRI applications for aortic disease.Magn Reson Imaging Clin N Am. 2015 Feb;23(1):15-23. doi: 10.1016/j.mric.2014.08.006. Epub 2014 Oct 5. Magn Reson Imaging Clin N Am. 2015. PMID: 25476670 Free PMC article. Review.
Cited by
-
Cardiovascular imaging 2010 in the International Journal of Cardiovascular Imaging.Int J Cardiovasc Imaging. 2011 Mar;27(3):309-19. doi: 10.1007/s10554-011-9834-1. Epub 2011 Feb 24. Int J Cardiovasc Imaging. 2011. PMID: 21347592 Free PMC article. Review. No abstract available.
-
Screening for subclinical atherosclerosis by noninvasive methods in asymptomatic patients with risk factors.Clin Interv Aging. 2013;8:573-80. doi: 10.2147/CIA.S40150. Epub 2013 May 28. Clin Interv Aging. 2013. PMID: 23761967 Free PMC article.
-
Image-Based Evaluation of Vascular Function and Hemodynamics.Pulse (Basel). 2013 Oct;1(2):108-22. doi: 10.1159/000354110. Epub 2013 Sep 10. Pulse (Basel). 2013. PMID: 26587430 Free PMC article. Review.
References
Publication types
MeSH terms
LinkOut - more resources
Full Text Sources
Medical