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Dynamic laser speckle angiography achieved by eigen-decomposition filtering

机译:通过特征分解滤波实现的动态激光散斑血管造影

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摘要

A new approach is proposed for statistically analysis of laser speckle signals emerged from a living biological tissue based on eigen-decomposition to separate the dynamic speckle signals due to moving blood cells from the static speckle signals due to static tissue components, upon which to achieve angiography of the interrogated tissue in vivo. The proposed approach is tested by imaging mouse ear pinna in vivo, demonstrating its capability of providing detailed microvascular networks with high contrast, and high temporal and spatial resolutions. It is expected to provide further opportunities for laser speckle imaging in the biomedical and clinical applications where microvascular response to certain stimulus or tissue injury is of interest.
机译:提出了一种新方法,用于基于特征分解从生物组织中出现的激光散斑信号的统计分析,以将动态散斑信号分离由于静态组织部件,从静态散斑信号移动到静态斑点信号 体内询问的组织。 所提出的方法是通过体内成像小鼠耳廓PinNA进行测试的,证明其具有高对比度和高时和空间分辨率的详细微血管网络的能力。 预计将在生物医学和临床应用中提供进一步的激光散斑成像的机会,其中微血管对某些刺激或组织损伤具有感兴趣的情况。

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