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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:提出了一种新的方法,用于基于特征分解对活生物组织中出现的激光散斑信号进行统计分析,以将由于移动的血细胞引起的动态散斑信号与由于静态组织成分引起的静态散斑信号分离,从而实现血管造影体内被询问的组织。通过在体内对小鼠耳廓成像,对提出的方法进行了测试,证明了其提供具有高对比度以及高时空分辨率的详细微血管网络的能力。期望在生物医学和临床应用中为激光散斑成像提供更多的机会,在生物医学和临床应用中,对某些刺激或组织损伤的微血管反应是令人关注的。

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