Time-dependent flow velocity measurement using two-dimensional color Doppler flow imaging and evaluation by Hagen–Poiseuille equation

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• 作者：Bo Zhang ; Yuqing Sun ; Lianghua Xia ; Junyi Gu
• 关键词：Velocity flow profile ; Intima ; media thickening ; Color Doppler flow imaging ; Hagen–Poiseuille equation
• 刊名：Australasian Physical & Engineering Sciences in Medicine
• 出版年：2015
• 出版时间：December 2015
• 年：2015
• 卷：38
• 期：4
• 页码：755-766
• 全文大小：6,672 KB
• 参考文献：1.Niu L, Zhang Y, Meng L et al (2014) Detection of subclinical atherosclerosis in asymptomatic subjects using ultrasound radiofrequency-tracking technology. PLoS One 9:e111926PubMed PubMedCentral CrossRef
  2.Liu M-E, Liao Y-C, Lin R-T et al (2013) A functional polymorphism of PON1 interferes with microRNA binding to increase the risk of ischemic stroke and carotid atherosclerosis. Atherosclerosis 228:161–167PubMed CrossRef
  3.Molnar T, Pusch G, Papp V et al (2014) The l -arginine pathway in acute ischemic stroke and severe carotid stenosis: temporal profiles and association with biomarkers and outcome. J Stroke Cerebrovasc Dis 23:2206–2214PubMed CrossRef
  4.Niu L, Qian M, Yang W et al (2013) Surface roughness detection of arteries via texture analysis of ultrasound images for early diagnosis of atherosclerosis. PLoS One 8:e76880PubMed PubMedCentral CrossRef
  5.Qian M, Niu L, Wong K, Abbott D, Zhou Q, Zheng H (2014) Pulsatile flow characterization in a vessel phantom with elastic wall using ultrasonic particle image velocimetry technique: the impact of vessel stiffness on flow dynamics. Biom Eng IEEE Trans 61(9):2444–2450CrossRef
  6.Galizia MS, Barker A, Liao Y et al (2014) Wall morphology, blood flow and wall shear stress: MR findings in patients with peripheral artery disease. Eur Radiol 24:850–856PubMed PubMedCentral CrossRef
  7.Tripolino C, Irace C, Scavelli FB et al (2014) Triglyceride glucose index and common carotid wall shear stress. J Investig Med 62:340–344PubMed
  8.Peiffer V, Sherwin SJ, Weinberg PD (2013) Does low and oscillatory wall shear stress correlate spatially with early atherosclerosis? A systematic review. Cardiovasc Res, cvt044
  9.Gopalakrishnan SS, Pier B, Biesheuvel A (2014) Global stability analysis of flow through a fusiform aneurysm: steady flows. J Fluid Mech 752:90–106CrossRef
  10.Owolabi MO, Agunloye AM, Ogunniyi A (2014) The relationship of flow velocities to vessel diameters differs between extracranial carotid and vertebral arteries of stroke patients. J Clin Ultrasound 42:16–23PubMed CrossRef
  11.Mynard JP, Wasserman BA, Steinman DA (2013) Errors in the estimation of wall shear stress by maximum Doppler velocity. Atherosclerosis 227:259–266PubMed PubMedCentral CrossRef
  12.Towne JB, Quinn K, Salles-Cunha S, Bernhard VM, Clowry LJ (1982) Effect of increased arterial blood flow on localization and progression of atherosclerosis. Arch Surg 117:1469–1474PubMed CrossRef
  13.Nigro P, Abe J-I, Berk BC (2011) Flow shear stress and atherosclerosis: a matter of site specificity. Antioxid Redox Signal 15:1405–1414PubMed PubMedCentral CrossRef
  14.Corban MT, Eshtehardi P, Suo J et al (2014) Combination of plaque burden, wall shear stress, and plaque phenotype has incremental value for prediction of coronary atherosclerotic plaque progression and vulnerability. Atherosclerosis 232:271–276PubMed CrossRef
  15.Silva Marques J, Pinto FJ (2014) The vulnerable plaque: current concepts and future perspectives on coronary morphology, composition and wall stress imaging. Port J Cardiol 33:101–110
  16.Assemat P, Armitage JA, Siu KK et al (2014) Three-dimensional numerical simulation of blood flow in mouse aortic arch around atherosclerotic plaques. Appl Math Model 38:4175–4185CrossRef
  17.Wang C, Chen M, Liu S-L, Liu Y, Jin J-M, Zhang Y-H (2013) Spatial distribution of wall shear stress in common carotid artery by color doppler flow imaging. J Digit Imaging 26:466–471PubMed PubMedCentral CrossRef
  18.Aaslid R, Markwalder T-M, Nornes H (1982) Noninvasive transcranial Doppler ultrasound recording of flow velocity in basal cerebral arteries. J Neurosurg 57:769–774PubMed CrossRef
  19.Overbeck JR, Beach KW, Strandness DE (1992) Vector Doppler: accurate measurement of blood velocity in two dimensions. Ultrasound Med Biol 18:19–31PubMed CrossRef
  20.Sandrin L, Manneville S, Fink M (2001) Ultrafast two-dimensional ultrasonic speckle velocimetry: a tool in flow imaging. Appl Phys Lett 78:1155–1157CrossRef
  21.Udesen J, Gran F, Hansen K, Jensen JA, Thomsen C, Nielsen MB (2008) High frame-rate blood vector velocity imaging using plane waves: simulations and preliminary experiments. IEEE Trans Ultrason Ferroelectr Freq Control 55:1729–1743PubMed CrossRef
  22.Beulen B, Verkaik AC, Bijnens N, Rutten M, van de Vosse F (2010) Perpendicular ultrasound velocity measurement by 2D cross correlation of RF data. Part B: volume flow estimation in curved vessels. Exp Fluids 49:1219–1229CrossRef
  23.Zhang F, Lanning C, Mazzaro L, Barker AJ, Gates PE, Strain WD, Fulford J, Gosling OE, Shore AC, Bellenger NG (2011) In vitro and preliminary in vivo validation of echo particle image velocimetry in carotid vascular imaging. Ultrasound Med Biol 37:450–464PubMed PubMedCentral CrossRef
  24.Zheng H, Liu L, Williams L, Hertzberg JR, Lanning C, Shandas R (2006) Real time multicomponent echo particle image velocimetry technique for opaque flow imaging. Appl Phys Lett 88:261915CrossRef
  25.Merritt CR (1987) Doppler color flow imaging. J Clin Ultrasound 15(9):591–597PubMed CrossRef
  26.Humphrey JD (2008) Mechanisms of arterial remodeling in hypertension coupled roles of wall shear and intramural stress. Hypertension 52:195–200PubMed PubMedCentral CrossRef
  27.Qiu Y, Tarbell JM (2000) Interaction between wall shear stress and circumferential strain affects endothelial cell biochemical production. J Vasc Res 37:147–157PubMed CrossRef
  28.Li Y-SJ, Haga JH, Chien S (2005) Molecular basis of the effects of shear stress on vascular endothelial cells. J Biomech 38:1949–1971PubMed CrossRef
  29.Qian M, Niu L, Wang Y, Jiang B, Jin Q, Jiang C, Zheng H (2010) Measurement of flow velocity fields in small vessel-mimic phantoms and vessels of small animals using micro ultrasonic particle image velocimetry (micro-EPIV). Phys Med Biol 55:6069PubMed CrossRef
  30.Niu L, Qian M, Wan K, Yu W, Jin Q, Ling T, Gao S, Zheng H (2010) Ultrasonic particle image velocimetry for improved flow gradient imaging: algorithms, methodology and validation. Phys Med Biol 55:2103PubMed CrossRef
  31.Fukumoto Y, Hiro T, Fujii T et al (2008) Localized elevation of shear stress is related to coronary plaque rupture: a 3-dimensional intravascular ultrasound study with in vivo color mapping of shear stress distribution. J Am Coll Cardiol 51:645–650PubMed CrossRef
  32.Evans DH, Jensen JA, Nielsen MB (2011) Ultrasonic colour Doppler imaging. Interface Focus 1:490–502PubMed PubMedCentral CrossRef
  33.Reneman RS, Vink H, Hoeks AP (2009) Wall shear stress revisited. Artery Res 3:73–78CrossRef
  34.Wong K, Mazumdar J, Pincombe B, Worthley SG, Sanders P, Abbott D (2006) Theoretical modeling of micro-scale biological phenomena in human coronary arteries. Med Biol Eng Comput 44:971–982PubMed CrossRef
  35.Wu J, Liu G, Huang W, Ghista DN, Wong KK (2014) Transient blood flow in elastic coronary arteries with varying degrees of stenosis and dilatations: CFD modelling and parametric study. Comput Methods Biomech Biomed Eng 18:1–11
  36.Efstathopoulos EP, Patatoukas G, Pantos I, Benekos O, Katritsis D, Kelekis NL (2008) Measurement of systolic and diastolic arterial wall shear stress in the ascending aorta. Phys Med 24:196–203PubMed CrossRef
  37.Wong KK, Thavornpattanapong P, Cheung SC, Tu J (2013) Numerical stability of partitioned approach in fluid-structure interaction for a deformable thin-walled vessel. Comput Math Methods Med
  38.Papafaklis MI, Koskinas KC, Chatzizisis YS, Stone PH, Feldman CL (2010) In-vivo assessment of the natural history of coronary atherosclerosis: vascular remodeling and endothelial shear stress determine the complexity of atherosclerotic disease progression. Curr Opin Cardiol 25:627–638PubMed CrossRef
  39.Wellnhofer E, Goubergrits L, Kertzscher U, Affeld K, Fleck E (2009) Novel non-dimensional approach to comparison of wall shear stress distributions in coronary arteries of different groups of patients. Atherosclerosis 202:483–490PubMed CrossRef
  40.Yang C, Canton G, Yuan C, Ferguson M, Hatsukami TS, Tang D (2010) Advanced human carotid plaque progression correlates positively with flow shear stress using follow-up scan data: an in vivo MRI multi-patient 3D FSI study. J Biomech 43:2530–2538PubMed PubMedCentral CrossRef
  41.Dirksen MT, van der Wal AC, van den Berg FM, van der Loos CM, Becker AE (1998) Distribution of inflammatory cells in atherosclerotic plaques relates to the direction of flow. Circulation 98:2000–2003PubMed CrossRef
  42.Slager C, Wentzel J, Gijsen F et al (2005) The role of shear stress in the destabilization of vulnerable plaques and related therapeutic implications. Nat Clin Pract Cardiovasc Med 2:456–464PubMed CrossRef
  43.Groen HC, Gijsen FJ, van der Lugt A et al (2007) Plaque rupture in the carotid artery is localized at the high shear stress region a case report. Stroke 38:2379–2381PubMed CrossRef
  
• 作者单位：Bo Zhang (1)
  Yuqing Sun (1)
  Lianghua Xia (1)
  Junyi Gu (1)
  
  1. Department of Ultrasound in Medicine, Shanghai East Hospital, Tongji University School of Medicine, No. 150 Jimo Rd, Shanghai, 200120, China
  
• 刊物主题：Biomedicine general; Biophysics and Biological Physics; Medical and Radiation Physics; Biomedical Engineering;
• 出版者：Springer Netherlands
• ISSN：1879-5447

文摘

This paper aims to develop a technique to assess velocity flow profile and wall shear stress (WSS) spatial distribution across a vessel phantom representing an artery. Upon confirming the reliability of the technique, it was then used on a set of carotid arteries from a cohort of human subjects. We implemented color Doppler flow imaging (CDFI) for measurement of velocity profile in the artery cross section. Two dimensional instantaneous and time-dependent flow velocity and WSS vector fields were measured and their waveforms of peak velocities based on the technique were compared with WSS values generated by Hagen–Poiseuille equation. Seventy-five patients with intima-media thickening were prospectively enrolled and were divided into an IMT group. At the same time, another 75 healthy volunteers were enrolled as the control group. All the subjects were scanned and the DICOM files were imported into our in-house program. Next, we determine the velocity profile of carotid arteries in a set of 150 human subjects and compared them again. The peak velocities by the CDFI and Hagen–Poiseuille equation techniques were compared and statistically evaluated. The amounts of deviation for the two measured WSS profiles were performed and we demonstrated that they are not significantly different. At two different flow settings with peak flow velocity of 0.1, 0.5 (×10−11) m/s, the obtained WSS were 0.021 ± 0.04, 0.038 ± 0.05 m/s, respectively. For the patient population study, the mean WSS value calculated by Hagen–Poiseuille equation was 2.98 ± 0.15 dyne/cm2, while it was 2.31 ± 0.14 dyne/cm2 by our CDFI analysis program. The difference was not statistically significant (t = −1.057, P = 0.259). Similar to the Hagen–Poiseuille equation, a negative linear correlation was also found between the calculated WSS and intima-media thickness (P = 0.000). Using CDFI analysis, we found that the WSS distribution at the middle of the proximal plaque shoulder was larger than the top of the shoulder. CDFI can assess the velocity and WSS profile accurately and efficiently and may be used for clinical diagnosis of cardiovascular conditions. Keywords Velocity flow profile Intima-media thickening Color Doppler flow imaging Hagen–Poiseuille equation