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Fluorescent image-tracking velocimetry algorithms for quantitative flow analysis in artificial organ devices

机译:用于人工器官装置中定量流动分析的荧光图像跟踪速度算法

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A Fluorescent Image Tracking Velocimetry (FITV) system has been developed to produce two-dimensional velocity maps of flow fields. This system is capable of measurements at flow boundaries, such as the blood-biomaterial interfaces in artificial cardiac organs (in-vitro only). Three pulse-coding schemes - a single-pulse code, a dash-dot pulse code, and a constant- frequency pulse code - and associated image analysis algorithms have been developed and tested. These algorithms were applied to analyze flow in three types of artificial cardiac organs: the Novacor Left Ventricular Assist System, the Nimbus AxiPump, and the Hattler Intravenous Membrane Oxygenator. Results are presented and discussed in terms of image recognition. Despite the drawback of time-direction ambiguity, a constant-frequency pulse with a hybrid of constant-frequency and single-pulse analyses was found to provide optimum results for these applications.
机译:已经开发出荧光图像跟踪速度(FITV)系统以产生流场的二维速度图。该系统能够在流动边界下进行测量,例如人造心脏器官中的血液 - 生物材料界面(仅限体外)。已经开发并测试了三个脉冲编码方案 - 单脉冲代码,DASH-DOT脉冲码和恒定频率脉冲码和相关的图像分析算法。这些算法被应用于分析三种人造心脏器官的流动:诺卡氏菌左心室辅助系统,尼布斯安普ump和Hattler静脉内膜氧吸附。在图像识别方面提出和讨论了结果。尽管对时效模糊的缺点,但发现具有恒定频率和单脉冲分析混合的恒定频率脉冲为这些应用提供最佳结果。

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