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杂交 PIV-PTV 技术测量大鼠肠系膜血管血流。

Hybrid PIV-PTV technique for measuring blood flow in rat mesenteric vessels.

机构信息

Department of Mechanical Engineering, Pohang University of Science and Technology, San 31, Hyoja-dong, Pohang 790-784, Republic of Korea.

出版信息

Microvasc Res. 2012 Nov;84(3):242-8. doi: 10.1016/j.mvr.2012.07.004. Epub 2012 Jul 20.

Abstract

The micro-particle tracking velocimetry (μ-PTV) technique is used to obtain the velocity fields of blood flow in the microvasculature under in vivo conditions because it can provide the blood velocity distribution in microvessels with high spatial resolution. The in vivo μ-PTV technique usually requires a few to tens of seconds to obtain a whole velocity profile across the vessel diameter because of the limited number density of tracer particles under in vivo conditions. Thus, the μ-PTV technique alone is limited in measuring unsteady blood flows that fluctuate irregularly due to the heart beating and muscle movement in surrounding tissues. In this study, a new hybrid PIV-PTV technique was established by combining PTV and particle image velocimetry (PIV) techniques to resolve the drawbacks of the μ-PTV method in measuring blood flow in microvessels under in vivo conditions. Images of red blood cells (RBCs) and fluorescent particles in rat mesenteric vessels were obtained simultaneously. Temporal variations of the centerline blood velocity were monitored using a fast Fourier transform-based cross-correlation PIV method. The fluorescence particle images were analyzed using the μ-PTV technique to extract the spatial distribution of the velocity vectors. Data from the μ-PTV and PIV methods were combined to obtain a better estimate of the velocity profile in actual blood flow. This technique will be useful in investigating hemodynamics in microcirculation by measuring unsteady irregular blood flows more accurately.

摘要

微粒子跟踪测速技术(μ-PTV)用于获得体内条件下微血管中血流的速度场,因为它可以提供具有高空间分辨率的微血管中血液速度分布。由于体内条件下示踪粒子的密度有限,体内 μ-PTV 技术通常需要几到几十秒的时间才能获得整个血管直径的速度剖面。因此,单独的 μ-PTV 技术在测量由于周围组织中的心跳和肌肉运动而不规则波动的非稳定血流方面存在局限性。在这项研究中,通过结合 PTV 和粒子图像测速(PIV)技术,建立了一种新的混合 PIV-PTV 技术,以解决 μ-PTV 方法在测量体内微血管中血流时的缺点。同时获得了大鼠肠系膜血管中红细胞(RBC)和荧光粒子的图像。使用基于快速傅里叶变换的互相关 PIV 方法监测中心线血流的时间变化。使用 μ-PTV 技术分析荧光粒子图像,以提取速度矢量的空间分布。将 μ-PTV 和 PIV 方法的数据结合起来,以获得对实际血流中速度剖面的更好估计。该技术通过更准确地测量非稳定不规则血流,将有助于研究微循环中的血液动力学。

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