Texas A&M University, Department of Biomedical Engineering, College Station, Texas 77843, USA.
J Biomed Opt. 2011 Feb;16(2):026016. doi: 10.1117/1.3544512.
Previous studies have shown the ability of many lymphatic vessels to contract phasically to pump lymph. Every lymphangion can act like a heart with pacemaker sites that initiate the phasic contractions. The contractile wave propagates along the vessel to synchronize the contraction. However, determining the location of the pacemaker sites within these vessels has proven to be very difficult. A high speed video microscopy system with an automated algorithm to detect pacemaker location and calculate the propagation velocity, speed, duration, and frequency of the contractions is presented in this paper. Previous methods for determining the contractile wave propagation velocity manually were time consuming and subject to errors and potential bias. The presented algorithm is semiautomated giving objective results based on predefined criteria with the option of user intervention. The system was first tested on simulation images and then on images acquired from isolated microlymphatic mesenteric vessels. We recorded contraction propagation velocities around 10 mm/s with a shortening speed of 20.4 to 27.1 μm/s on average and a contraction frequency of 7.4 to 21.6 contractions/min. The simulation results showed that the algorithm has no systematic error when compared to manual tracking. The system was used to determine the pacemaker location with a precision of 28 μm when using a frame rate of 300 frames per second.
先前的研究表明,许多淋巴管具有相位收缩的能力,以泵送淋巴液。每个淋巴管都可以像带有起搏器部位的心脏一样起作用,起搏器部位启动相位收缩。收缩波沿血管传播以同步收缩。然而,确定这些血管内起搏器部位的位置已被证明非常困难。本文提出了一种高速视频显微镜系统,该系统具有自动算法来检测起搏器位置并计算收缩的传播速度、速度、持续时间和频率。以前手动确定收缩波传播速度的方法既耗时又容易出错且存在潜在偏差。所提出的算法是半自动的,根据预设标准提供客观结果,并可选择用户干预。该系统首先在模拟图像上进行了测试,然后在从分离的微淋巴管肠系膜血管中获取的图像上进行了测试。我们记录的收缩传播速度约为 10mm/s,平均缩短速度为 20.4 到 27.1μm/s,收缩频率为 7.4 到 21.6 次/分钟。模拟结果表明,与手动跟踪相比,该算法没有系统误差。该系统用于确定起搏器位置,使用 300 帧/秒的帧率时精度为 28μm。