Measurement Method of Arterial Shear Stress of Rats Model Based on Ultrasonic Particle Imaging Velocimetry_Journal of Biomedical Engineering

Authors：

ZHUYiheng ^1,2 , QIANMing ² , NIULili ² , ZHENGHairong ² ,  LUGuangwen ¹

1. School of Biomedical Engineering, Southern Medical University, Guangzhou 510515, China;
2. Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen 518055, China;

Corresponding author：

LUGuangwen, Email: gwlu@smu.edu.cn

Keywords：

ultrasonic particle image velocimetry; blood flow imaging; hemodynamics; shear stress; shear rate

DOI：

10.7507/1001-5515.20140257

Video：

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The development and progression of atherosclerosis and thrombosis are closely related to changes of hemodynamics parameters. Ultrasonic pulse wave Doppler technique is normally used for noninvasively blood flow imaging. However, this technique only provides one-dimensional velocity and depends on the angle between the ultrasound beam and the local velocity vector. In this study, ultrasonic particle image velocimetry method was used to assess whole field hemodynamic changes in normal blood vessels. By using the polynomial fitting method, we investigated the velocity gradient and assessed the shear in different blood flow velocity of 10 healthy rats. It was found that using four polynomial fitting could result in optimal measurement results. The results obtained by ultrasonic particle image velocimetry accorded with the results obtained using Doppler technique. The statistical average of cyclical vessel wall shear stress was positively related to the locational mean velocity. It is proven that ultrasonic particle image velocimetry method could be used to assess directly the real-time whole field hemodynamic changes in blood vessels and was non-invasively, and should be a good prosperous technique for monitoring complex blood flow in stenotic arteries.

Citation： ZHUYiheng, QIANMing, NIULili, ZHENGHairong, LUGuangwen. Measurement Method of Arterial Shear Stress of Rats Model Based on Ultrasonic Particle Imaging Velocimetry. Journal of Biomedical Engineering, 2014, 31(6): 1355-1360. doi: 10.7507/1001-5515.20140257 Copy

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8.	郑海荣,钱明,凌涛,等.超声粒子图像测速技术及应用[J].声学学报,2009,34(6):548-553.
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10.	倪福文,袁莉,陈海.血浆同型半胱氨酸水平与动脉粥样硬化性脑梗死的关系[J].中国实用神经疾病杂志,2010,13(10):3-6.
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13.	GUI L, WERELEY S T. A correlation-based continuous window-shift technique to reduce the peak-locking effect in digital PIV image evaluation[J]. Exp Fluids, 2002, 32(4):506-517.
14.	SUGⅡ Y, NISHIO S, OKUNO T, et al. A highly accurate iterative PIV technique using a gradient method[J]. Meas Sci Technol, 2000, 11(12):1666-1673.
15.	WILLINK R, EVANS D H. Volumetric blood flow calculation using a narrow ultrasound beam[J]. Ultrasound Med Biol, 1995, 21(2):203-216.
16.	POELMA C, VAN DER MIJLE R M E, MARI J M, et al. Ultrasound imaging velocimetry:Toward reliable wall shear stress measurements[J]. Eur J Mech B-Fluids, 2012, 35:70-75.

1. 秦方,阮蕾,张廷杰.动脉粥样硬化危险因素的现代认识[J].心血管病学进展,2000,21(1):29-33.
2. 杨永宗.动脉粥样硬化性心血管病基础与临床[M].北京:科学出版社,2004:48-59.
3. 武晓玲,罗春霞,迟路湘.兔颈动脉粥样硬化剪切力改变对其斑块及内膜中膜病理变化影响[J].第三军医大学学报,2006,28(20):2057-2061.
4. KATRITSIS D, KAIKTSIS L, CHANIOTIS A, et al. Wall shear stress:theoretical considerations and methods of measurement[J]. Prog Cardiovasc Dis, 2007, 49(5):307-329.
5. KIM H B, HERTZBERG J R, SHANDAS R. Development and validation of echo PIV[J]. Exp Fluids, 2004, 36(3):455-462.
6. QIAN Ming, NIU Lili, WANG Yanping, et al. Measurement of flow velocity fields in small vessel-mimic phantoms and vessels of small animals using micro ultrasonic particle image velocimetry (micro-EPIV)[J]. Phys Med Biol, 2010, 55(20):6069-6088.
7. NIU Lili, QIAN Ming, WAN Kun, et al. Ultrasonic particle image velocimetry for improved flow gradient imaging:algorithms, methodology and validation[J]. Phys Med Biol, 2010, 55(7):2103-2120.
8. 郑海荣,钱明,凌涛,等.超声粒子图像测速技术及应用[J].声学学报,2009,34(6):548-553.
9. SIMON A C, LEVENSON J. Abnormal wall shear conditions in the brachial artery of hypertensive patients[J]. J Hypertens, 1990, 8(2):109-114.
10. 倪福文,袁莉,陈海.血浆同型半胱氨酸水平与动脉粥样硬化性脑梗死的关系[J].中国实用神经疾病杂志,2010,13(10):3-6.
11. 刘继东,崔连群,耿海华,等.超声观察大鼠颈总动脉机械损伤模型[J].解剖学杂志,2006,29(6):770-773.
12. KIM H B, HERTZBERG J, LANNING C, et al. Noninvasive measurement of steady and pulsating velocity profiles and shear rates in arteries using echo PIV:in vitro validation studies[J]. Ann Biomed Eng, 2004, 32(8):1067-1076.
13. GUI L, WERELEY S T. A correlation-based continuous window-shift technique to reduce the peak-locking effect in digital PIV image evaluation[J]. Exp Fluids, 2002, 32(4):506-517.
14. SUGⅡ Y, NISHIO S, OKUNO T, et al. A highly accurate iterative PIV technique using a gradient method[J]. Meas Sci Technol, 2000, 11(12):1666-1673.
15. WILLINK R, EVANS D H. Volumetric blood flow calculation using a narrow ultrasound beam[J]. Ultrasound Med Biol, 1995, 21(2):203-216.
16. POELMA C, VAN DER MIJLE R M E, MARI J M, et al. Ultrasound imaging velocimetry:Toward reliable wall shear stress measurements[J]. Eur J Mech B-Fluids, 2012, 35:70-75.

Journal of Biomedical Engineering

Measurement Method of Arterial Shear Stress of Rats Model Based on Ultrasonic Particle Imaging Velocimetry

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