Park Hanwook, Jung Sung Yong, Park Jun Hong, Kim Jun Ho, Lee Sang Joon
Department of Mechanical Engineering, Pohang University of Science and Technology (POSTECH), 77 Cheongam-ro, Pohang, Gyeongsangbuk-do 790-784, South Korea.
Department of Mechanical Engineering, Chosun University, 375 Seosuk-dong, Dong-gu, Gwangju 61452, South Korea.
J Synchrotron Radiat. 2018 Mar 1;25(Pt 2):552-559. doi: 10.1107/S1600577517017398. Epub 2018 Feb 13.
The X-ray PIV (particle image velocimetry) technique has been used as a non-invasive measurement modality to investigate the haemodynamic features of blood flow. However, the extraction of two-dimensional velocity field data from the three-dimensional volumetric information contained in X-ray images is technically unclear. In this study, a new two-dimensional velocity field extraction technique is proposed to overcome technological limitations. To resolve the problem of finding a correction coefficient, the velocity field information obtained by X-ray PIV and micro-PIV techniques for disturbed flow in a concentric stenosis with 50% severity was quantitatively compared. Micro-PIV experiments were conducted for single-plane and summation images, which provide similar positional information of particles as X-ray images. The correction coefficient was obtained by establishing the relationship between velocity data obtained from summation images (V) and centre-plane images (V). The velocity differences between V and V along the vertical and horizontal directions were quantitatively analysed as a function of the geometric angle of the test model for applying the present two-dimensional velocity field extraction technique to a conduit of arbitrary geometry. Finally, the two-dimensional velocity field information at arbitrary positions could be successfully extracted from X-ray images by using the correction coefficient and several velocity parameters derived from V.
X射线粒子图像测速(PIV)技术已被用作一种非侵入性测量方法来研究血流的血液动力学特征。然而,从X射线图像中包含的三维体积信息中提取二维速度场数据在技术上尚不清楚。在本研究中,提出了一种新的二维速度场提取技术以克服技术限制。为了解决寻找校正系数的问题,对通过X射线PIV和微PIV技术获得的、用于50%严重程度的同心狭窄处紊乱血流的速度场信息进行了定量比较。对单平面和叠加图像进行了微PIV实验,这些图像提供了与X射线图像类似的粒子位置信息。通过建立从叠加图像(V)和中心平面图像(V)获得的速度数据之间的关系来获得校正系数。对于将当前二维速度场提取技术应用于任意几何形状的管道,沿着垂直和水平方向对V和V之间的速度差异作为测试模型几何角度的函数进行了定量分析。最后,通过使用校正系数和从V导出的几个速度参数,可以成功地从X射线图像中提取任意位置的二维速度场信息。