In vitro and preliminary in vivo validation of echo particle image velocimetry in carotid vascular imaging.

Noninvasive, easy-to-use and accurate measurements of wall shear stress (WSS) in human blood vessels have always been challenging in clinical applications. Echo particle image velocimetry (Echo PIV) has shown promise for clinical measurements of local hemodynamics and wall shear rate. Thus far, however, the method has only been validated under simple flow conditions. In this study, we validated Echo PIV under in vitro and in vivo conditions. For in vitro validation, we used an anatomically correct, compliant carotid bifurcation flow phantom with pulsatile flow conditions, using optical particle image velocimetry (optical PIV) as the reference standard. For in vivo validation, we compared Echo PIV-derived 2-D velocity fields obtained at the carotid bifurcation in five normal subjects against phase-contrast magnetic resonance imaging (PC-MRI)-derived velocity measurements obtained at the same locations. For both studies, time-dependent, 2-D, two-component velocity vectors; peak/centerline velocity, flow rate and wall shear rate (WSR) waveforms at the common carotid artery (CCA), carotid bifurcation and distal internal carotid artery (ICA) were examined. Linear regression, correlation analysis and Bland-Altman analysis were used to quantify the agreement of different waveforms measured by the two techniques. In vitro results showed that Echo PIV produced good images of time-dependent velocity vector maps over the cardiac cycle with excellent temporal (up to 0.7 ms) and spatial (∼0.5 mm) resolutions and quality, comparable with optical PIV results. Further, good agreement was found between Echo PIV and optical PIV results for velocity and WSR measurements. In vivo results also showed good agreement between Echo PIV velocities and phase contrast MRI velocities. We conclude that Echo PIV provides accurate velocity vector and WSR measurements in the carotid bifurcation and has significant potential as a clinical tool for cardiovascular hemodynamics evaluation.

[1]  D. Ku,et al.  Pulsatile Flow and Atherosclerosis in the Human Carotid Bifurcation: Positive Correlation between Plaque Location and Low and Oscillating Shear Stress , 1985, Arteriosclerosis.

[2]  Jiusheng Chen,et al.  Systematic validation of the echo particle image velocimetry technique using a patient specific carotid bifurcation model , 2008, 2008 IEEE Ultrasonics Symposium.

[3]  M. Texon,et al.  Hemodynamic Basis of Atherosclerosis , 1995 .

[4]  Christopher P. Cheng,et al.  In Vivo Quantification of Blood Flow and Wall Shear Stress in the Human Abdominal Aorta During Lower Limb Exercise , 2002, Annals of Biomedical Engineering.

[5]  Theo Arts,et al.  Wall Shear Stress – an Important Determinant of Endothelial Cell Function and Structure – in the Arterial System in vivo , 2006, Journal of Vascular Research.

[6]  P2A-5 Effect of Contrast Microbubble Concentration on Quality of Echo Particle Image Velocimetry (Echo PIV) Data: Initial In Vitro Studies , 2006, 2006 IEEE Ultrasonics Symposium.

[7]  G. Hutchins,et al.  Correlation between intimal thickness and fluid shear in human arteries. , 1981, Atherosclerosis.

[8]  M. Nowak,et al.  Wall shear stress measurement in a turbulent pipe flow using ultrasound Doppler velocimetry , 2002 .

[9]  J. Westerweel,et al.  In vivo whole-field blood velocity measurement techniques , 2007 .

[10]  L.O. Murta,et al.  Evaluation of segmentation algorithms for vessel wall detection in echo particle image velocimetry , 2009, 2009 IEEE International Ultrasonics Symposium.

[11]  D. Ku,et al.  Pulsatile Flow in a Model Carotid Bifurcation , 1983, Arteriosclerosis.

[12]  A. Shaaban,et al.  Wall shear stress and early atherosclerosis: a review. , 2000, AJR. American journal of roentgenology.

[13]  P R Hoskins,et al.  Haemodynamics and blood flow measured using ultrasound imaging , 2010, Proceedings of the Institution of Mechanical Engineers. Part H, Journal of engineering in medicine.

[14]  Hairong Zheng,et al.  Real time multicomponent echo particle image velocimetry technique for opaque flow imaging , 2006 .

[15]  Christopher P. Cheng,et al.  Quantification of Wall Shear Stress in Large Blood Vessels Using Lagrangian Interpolation Functions with Cine Phase-Contrast Magnetic Resonance Imaging , 2002, Annals of Biomedical Engineering.

[16]  K. Cunningham,et al.  The role of shear stress in the pathogenesis of atherosclerosis , 2005, Laboratory Investigation.

[17]  S. Oyre,et al.  Accurate noninvasive quantitation of blood flow, cross-sectional lumen vessel area and wall shear stress by three-dimensional paraboloid modeling of magnetic resonance imaging velocity data. , 1998, Journal of the American College of Cardiology.

[18]  J. Westerweel.  Fundamentals of digital particle image velocimetry , 1997 .

[19]  B. Gelfand,et al.  Spatial and spectral heterogeneity of time‐varying shear stress profiles in the carotid bifurcation by phase‐contrast MRI , 2006, Journal of magnetic resonance imaging : JMRI.

[20]  J A Jensen,et al.  In-vivo Examples of Flow Patterns With The Fast Vector Velocity Ultrasound Method , 2009, Ultraschall in der Medizin.

[21]  R S Reneman,et al.  Wall shear rate in arterioles in vivo: least estimates from platelet velocity profiles. , 1988, The American journal of physiology.

[22]  A. Beckett,et al.  AKUFO AND IBARAPA. , 1965, Lancet.

[23]  A. Gnasso,et al.  Evaluation of common carotid hemodynamic forces. Relations with wall thickening. , 1999, Hypertension.

[24]  N. Lawson,et al.  Swirling flow of viscoelastic fluids. Part 1. Interaction between inertia and elasticity , 2001, Journal of Fluid Mechanics.

[25]  S. Oyre,et al.  Determination of wall shear rate in the human carotid artery by magnetic resonance techniques. , 2000, European journal of vascular and endovascular surgery : the official journal of the European Society for Vascular Surgery.

[26]  M. Crapper,et al.  Flow field visualization of sediment-laden flow using ultrasonic imaging , 2000 .

[27]  C. Thomsen,et al.  In vivo validation of a blood vector velocity estimator with MR angiography , 2009, IEEE Transactions on Ultrasonics, Ferroelectrics and Frequency Control.

[28]  A. Barker,et al.  Noninvasive wall shear stress measurements in human carotid artery using echo particle image velocimetry: Initial clinical studies , 2009, 2009 IEEE International Ultrasonics Symposium.

[29]  A Fenster,et al.  Three-dimensional colour Doppler imaging. , 1993, Ultrasound in medicine & biology.

[30]  Mathieu Legrand,et al.  Atmospheric low swirl burner flow characterization with stereo PIV , 2010 .

[31]  N A Obuchowski,et al.  Common carotid artery: variability of Doppler US velocity measurements. , 1997, Radiology.

[32]  J. Jensen,et al.  High frame-rate blood vector velocity imaging using plane waves: Simulations and preliminary experiments , 2008, IEEE Transactions on Ultrasonics, Ferroelectrics and Frequency Control.

[33]  Hairong Zheng,et al.  Development of a custom-designed echo particle image velocimetry system for multi-component hemodynamic measurements: system characterization and initial experimental results , 2008, Physics in medicine and biology.

[34]  D. Mozaffarian,et al.  Heart disease and stroke statistics--2009 update: a report from the American Heart Association Statistics Committee and Stroke Statistics Subcommittee. , 2009, Circulation.

[35]  B. Wieneke,et al.  Time resolved PIV and flow visualization of 3D sheet cavitation , 2006 .

[36]  C. Zarins,et al.  Carotid Bifurcation Atherosclerosis: Quantitative Correlation of Plaque Localization with Flow Velocity Profiles and Wall Shear Stress , 1983, Circulation research.

[37]  S Glagov,et al.  Atherosclerotic enlargement of the human abdominal aorta. , 2001, Atherosclerosis.

[38]  Jean Hertzberg,et al.  Development and validation of echo PIV , 2004 .

[39]  P. Sengupta,et al.  Left ventricular isovolumic flow sequence during sinus and paced rhythms: new insights from use of high-resolution Doppler and ultrasonic digital particle imaging velocimetry. , 2007, Journal of the American College of Cardiology.

[40]  Arash Kheradvar,et al.  Echocardiographic particle image velocimetry: a novel technique for quantification of left ventricular blood vorticity pattern. , 2010, Journal of the American Society of Echocardiography : official publication of the American Society of Echocardiography.

[41]  Francis Loth,et al.  Mean-average wall shear stress measurements in the common carotid artery. , 2006, Journal of cardiovascular magnetic resonance : official journal of the Society for Cardiovascular Magnetic Resonance.

[42]  Jean Hertzberg,et al.  Noninvasive Measurement of Steady and Pulsating Velocity Profiles and Shear Rates in Arteries Using Echo PIV: In Vitro Validation Studies , 2004, Annals of Biomedical Engineering.

[43]  D. Altman,et al.  STATISTICAL METHODS FOR ASSESSING AGREEMENT BETWEEN TWO METHODS OF CLINICAL MEASUREMENT , 1986, The Lancet.

[44]  Garrett Fitzmaurice,et al.  Statistical methods for assessing agreement. , 2002, Nutrition.

[45]  Dong-Guk Paeng,et al.  Echogenicity variations from porcine blood I: the "bright collapsing ring" under pulsatile flow. , 2004, Ultrasound in medicine & biology.

[46]  Richard D. Keane,et al.  Theory of cross-correlation analysis of PIV images , 1992 .

[47]  Dong-Guk Paeng,et al.  Echogenicity variations from porcine blood II: the "bright ring" under oscillatory flow. , 2004, Ultrasound in medicine & biology.

[48]  G. Quénot,et al.  Particle image velocimetry with optical flow , 1998 .

[49]  D. Mozaffarian,et al.  Heart disease and stroke statistics--2009 update: a report from the American Heart Association Statistics Committee and Stroke Statistics Subcommittee. , 2009, Circulation.

[50]  R. Schroter,et al.  Arterial Wall Shear and Distribution of Early Atheroma in Man , 1969, Nature.

[51]  Mcm Marcel Rutten,et al.  Perpendicular ultrasound velocity measurement by 2D cross correlation of RF data. Part B: volume flow estimation in curved vessels , 2010 .

[52]  S Glagov,et al.  The role of fluid mechanics in the localization and detection of atherosclerosis. , 1993, Journal of biomechanical engineering.

[53]  A. Gnasso,et al.  Association between intima-media thickness and wall shear stress in common carotid arteries in healthy male subjects. , 1996, Circulation.

[54]  A. Gnasso,et al.  In vivo association between low wall shear stress and plaque in subjects with asymmetrical carotid atherosclerosis. , 1997, Stroke.

[55]  A. Folsom,et al.  Risk Factors for Ischemic Stroke Subtypes: The Atherosclerosis Risk in Communities Study , 2006, Stroke.

[56]  Bwamm Bart Beulen,et al.  Perpendicular ultrasound velocity measurement by 2D cross correlation of RF data. Part A: validation in a straight tube , 2010 .