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存在静态光学散射体时的空间与时间激光散斑对比度分析。

Spatial versus temporal laser speckle contrast analyses in the presence of static optical scatterers.

作者信息

Ramirez-San-Juan Julio C, Regan Caitlin, Coyotl-Ocelotl Beatriz, Choi Bernard

机构信息

Instituto Nacional de Astrofisica, Optica y Electronica, Departamento de Optica, Luis Enrique Erro No. 1, Tonantzintla, Puebla 72840, MexicobUniversity of California, Irvine, Beckman Laser Institute and Medical Clinic, Department of Surgery, 1002 Health S.

University of California, Irvine, Beckman Laser Institute and Medical Clinic, Department of Surgery, 1002 Health Sciences Road East, Irvine, California 92612, United StatescUniversity of California, Irvine, Department of Biomedical Engineering, 3120 Natur.

出版信息

J Biomed Opt. 2014;19(10):106009. doi: 10.1117/1.JBO.19.10.106009.

Abstract

Previously published data demonstrate that the temporal processing algorithm for laser speckle contrast imaging (LSCI) can improve the visibility of deep blood vessels and is less susceptible to static speckle artifacts when compared with the spatial algorithm. To the best of our knowledge, the extent to which the temporal algorithm can accurately predict the speckle contrast associated with flow in deep blood vessels has not been quantified. Here, we employed two phantom systems and imaging setups (epi-illumination and transillumination) to study the contrast predicted by the spatial and temporal algorithms in subsurface capillary tubes as a function of the camera exposure time and the actual flow speed. Our data with both imaging setups suggest that the contrast predicted by the temporal algorithm, and therefore the relative flow speed, is nearly independent of the degree of static optical scattering that contributes to the overall measured speckle pattern. Collectively, these results strongly suggest the potential of temporal LSCI at a single-exposure time to assess accurately the changes in blood flow even in the presence of substantial static optical scattering.

摘要

先前发表的数据表明,与空间算法相比,激光散斑对比成像(LSCI)的时间处理算法可以提高深部血管的可视性,并且对静态散斑伪影的敏感性较低。据我们所知,时间算法能够准确预测与深部血管血流相关的散斑对比度的程度尚未得到量化。在此,我们采用了两种模拟体系统和成像设置(落射照明和透射照明),以研究空间和时间算法预测的皮下毛细管中的对比度与相机曝光时间和实际流速的函数关系。我们在两种成像设置下获得的数据表明,时间算法预测的对比度以及相对流速几乎与导致整体测量散斑图案的静态光学散射程度无关。总体而言,这些结果有力地表明了单次曝光时间的时间LSCI即使在存在大量静态光学散射的情况下也具有准确评估血流变化的潜力。

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