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用于近红外光谱的最佳血红蛋白消光系数数据集。

Optimal hemoglobin extinction coefficient data set for near-infrared spectroscopy.

作者信息

Zhao Yue, Qiu Lina, Sun Yunlong, Huang Chong, Li Ting

机构信息

Institute of Biomedical Engineering, Chinese Academy of Medical Science and Peking Union Medical College, 300192, Tianjin, China.

Department of Physics, Politecnico di Milano, Milan, 20133, Italy.

出版信息

Biomed Opt Express. 2017 Oct 23;8(11):5151-5159. doi: 10.1364/BOE.8.005151. eCollection 2017 Nov 1.

Abstract

Extinction coefficient (ε) is a critical parameter for quantification of oxy-, deoxy-, and total-hemoglobin concentrations (Δ[HbO], Δ[Hb], Δ[tHb]) from optical measurements of Near-infrared spectroscopy (NIRS). There are several different ε data sets which were frequently used in NIRS quantification. A previous study reported that even a small variation in ε could cause a significant difference in hemodynamic measurements. Apparently the selection of an optimal ε data set is important for NIRS. We conducted oxygen-state-varied and blood-concentration-varied model experiments with 57 human blood samples to mimic tissue hemodynamic variations. Seven reported ε data sets were evaluated by comparisons between quantifications and assumed values. We found that the Moaveni et al (1970)' ε data set was the optimal one, the NIRS quantification varied significantly among different ε data sets and parameter Δ[tHb] was most sensitive to ε data sets selection.

摘要

消光系数(ε)是通过近红外光谱(NIRS)光学测量来定量氧合血红蛋白、脱氧血红蛋白和总血红蛋白浓度(Δ[HbO]、Δ[Hb]、Δ[tHb])的关键参数。有几个不同的ε数据集常用于NIRS定量分析。先前的一项研究报告称,即使ε的微小变化也可能导致血液动力学测量结果出现显著差异。显然,选择最佳的ε数据集对NIRS至关重要。我们用57份人体血液样本进行了氧状态变化和血液浓度变化的模型实验,以模拟组织血液动力学变化。通过比较定量结果和假定值,对七个已报道的ε数据集进行了评估。我们发现,Moaveni等人(1970年)的ε数据集是最佳的,不同ε数据集之间的NIRS定量结果差异显著,并且参数Δ[tHb]对ε数据集的选择最为敏感。

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