Li Chenxi, Wang Ruikang
Department of Bioengineering, University of Washington, 3720 15th Ave NE, Seattle, WA, 98195, USA.
College of Precision Instrument and Optoelectronics Engineering, Tianjin University, 92 Weijin Road, Tianjin, 300072, China.
J Biophotonics. 2017 Jun;10(6-7):805-810. doi: 10.1002/jbio.201600237. Epub 2016 Nov 29.
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.
提出了一种基于特征分解对活体生物组织产生的激光散斑信号进行统计分析的新方法，以将由于移动血细胞产生的动态散斑信号与由于静态组织成分产生的静态散斑信号分离，在此基础上实现对被检测组织的体内血管造影。通过对小鼠耳廓进行体内成像对所提出的方法进行了测试，证明了其能够提供具有高对比度、高时间和空间分辨率的详细微血管网络。预计该方法将为生物医学和临床应用中的激光散斑成像提供更多机会，这些应用中微血管对某些刺激或组织损伤的反应是人们感兴趣的。
