Med Biol Eng Comput. 2012 Feb;50(2):103-5. doi: 10.1007/s11517-011-0856-6. Epub 2011 Dec 29.
Laser speckle contrast imaging (LSCI) is a recent clinical powerful tool to obtain full-field images of microvascular blood perfusion. The technique relies on laser speckle obtained by the interactions between coherent monochromatic radiations and the tissues under study. From these speckle images, contrast values are determined and instantaneous map of the perfusion are computed. LSCI has gained increased attention in the last years and is now additional to laser Doppler flowmetry (LDF). In spite of the growing interest for LSCI in skin clinical research, very few LSCI perfusion data processing have been published from now to extract physiologically-linked indices. By opposition, numerous signal processing works have been dedicated to the processing of LDF signals. The latter works proposed methodological processing procedures to extract information reflecting underlying microvascular mechanisms such as myogenic, neurogenic and endothelial activities. Our goal herein is to report on the potentialities of studies dedicated to the processing of LSCI perfusion data. Linear and nonlinear analyses could be of interest to improve the understanding of LSCI images.
激光散斑对比成像(LSCI)是一种最近的临床强大工具,可获得微血管血流灌注的全场图像。该技术依赖于通过相干单色辐射与研究中的组织之间的相互作用获得的激光散斑。从这些散斑图像中,确定对比度值并计算灌注的瞬时图。LSCI 在过去几年中受到了越来越多的关注,现在除了激光多普勒流量测量(LDF)之外。尽管 LSCI 在皮肤临床研究中的兴趣日益增加,但迄今为止,很少有 LSCI 灌注数据处理已发表,以提取与生理相关的指标。相反,许多信号处理工作致力于 LDF 信号的处理。后者的工作提出了方法处理程序,以提取反映潜在微血管机制的信息,如肌源性、神经源性和内皮活动。我们的目标是报告专门用于处理 LSCI 灌注数据的研究的潜力。线性和非线性分析可能有助于更好地理解 LSCI 图像。