Retooling Laser Speckle Contrast Analysis Algorithm to Enhance Non-Invasive High Resolution Laser Speckle Functional Imaging of Cutaneous Microcirculation.
Retooling Laser Speckle Contrast Analysis Algorithm to Enhance Non-Invasive High Resolution Laser Speckle Functional Imaging of Cutaneous Microcirculation.
复制标题
重新处理激光斑点对比分析算法，以增强皮肤微循环的非侵入性高分辨率激光功能成像。
DOI：
10.1038/srep41048
复制
发表时间：
2017-01-20
影响因子：
4.6
通讯作者：
Sen CK
中科院分区：
文献类型：
--
作者：
Gnyawali SC;Blum K;Pal D;Ghatak S;Khanna S;Roy S;Sen CK
皮肤微血管病变使伤口愈合复杂化。因此，门控个体皮肤微血管的功能评估是非常重要的。激光散斑对比成像（LSCI）系统的功能性能受到运动伪影的影响。为了解决这一缺点，本文报道了叠置图像的后处理。我们报告了来自高分辨率LSCI相机的二进制原始数据的第一个后处理。通过在基于matlab的程序代码中引入逆方差和斑点对比度，可以实现低流量微血管的清晰图像。扩展移动窗平均提高信噪比。使用自由手工具对单门控微血管进行血流动力学功能定量研究。在检测低流量微血管流量的基础上，导出了一种新的鲜明对比图像。因此，这项工作提出了第一个清晰的图像与定量微灌注数据从封闭的人足微血管。该多功能平台适用于不开颅小鼠脑内微细血管网络及小鼠背侧皮肤组织系统的广泛研究。重要的是，本文报道的算法是硬件无关的，并且能够对来自任何相机源的二进制原始数据进行后处理，以提高光学系统标准限制以上和超出标准限制的功能流数据的灵敏度。
Cutaneous microvasculopathy complicates wound healing. Functional assessment of gated individual dermal microvessels is therefore of outstanding interest. Functional performance of laser speckle contrast imaging (LSCI) systems is compromised by motion artefacts. To address such weakness, post-processing of stacked images is reported. We report the first post-processing of binary raw data from a high-resolution LSCI camera. Sharp images of low-flowing microvessels were enabled by introducing inverse variance in conjunction with speckle contrast in Matlab-based program code. Extended moving window averaging enhanced signal-to-noise ratio. Functional quantitative study of blood flow kinetics was performed on single gated microvessels using a free hand tool. Based on detection of flow in low-flow microvessels, a new sharp contrast image was derived. Thus, this work presents the first distinct image with quantitative microperfusion data from gated human foot microvasculature. This versatile platform is applicable to study a wide range of tissue systems including fine vascular network in murine brain without craniotomy as well as that in the murine dorsal skin. Importantly, the algorithm reported herein is hardware agnostic and is capable of post-processing binary raw data from any camera source to improve the sensitivity of functional flow data above and beyond standard limits of the optical system.