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连续波高光谱近红外组织光谱学的最小光谱分辨率

Minimum spectral resolution for continuous-wave hyperspectral near-infrared tissue spectroscopy.

作者信息

Ping Ann, Haque Redwan, Li Natalie C, Eskandari Rasa, Diop Mamadou

机构信息

University of Toronto, Department of Mechanical and Industrial Engineering, Toronto, Ontario, Canada.

Western University, Department of Medical Biophysics, London, Ontario, Canada.

出版信息

J Biomed Opt. 2025 Apr;30(4):047002. doi: 10.1117/1.JBO.30.4.047002. Epub 2025 Apr 24.

Abstract

SIGNIFICANCE

Continuous-wave hyperspectral near-infrared spectroscopy (h-NIRS) is a reliable and cost-effective technique for noninvasive monitoring of tissue blood content and oxygenation at the point-of-care; however, most h-NIRS devices are based on expensive custom-built spectrometers. For widespread adoption, low-cost, miniature, off-the-shelf spectrometers are needed. To guide the development of such spectrometers, a standard for spectral resolution must first be defined.

AIM

We aim to identify the minimum spectral resolution needed for h-NIRS devices to accurately measure oxy- and deoxy-hemoglobin (HbO and Hb) concentrations in tissue.

APPROACH

h-NIRS measurements were acquired from fully oxygenated and deoxygenated blood-lipid phantoms at 13 spectral resolutions. Data for other oxygenation levels were simulated using NIRFAST. HbO and Hb concentrations were estimated at each resolution and compared with the ground truth hemoglobin concentration.

RESULTS

The concentration of Hb was estimated with high accuracy for resolutions up to 10 nm, whereas HbO estimates were more variable. For both chromophores, the accuracy of the estimation gradually decreased with resolutions beyond 10 nm.

CONCLUSIONS

Spectral resolutions up to 10 nm can be used for h-NIRS without compromising the accuracy of estimating tissue blood content and oxygenation.

摘要

意义

连续波高光谱近红外光谱技术(h-NIRS)是一种在床旁对组织血液含量和氧合进行无创监测的可靠且经济高效的技术;然而,大多数h-NIRS设备基于昂贵的定制光谱仪。为了广泛应用,需要低成本、微型的现成光谱仪。为了指导此类光谱仪的开发,必须首先定义光谱分辨率标准。

目的

我们旨在确定h-NIRS设备准确测量组织中氧合血红蛋白和脱氧血红蛋白(HbO和Hb)浓度所需的最低光谱分辨率。

方法

在13种光谱分辨率下,从完全氧合和脱氧的血脂模型获取h-NIRS测量数据。使用NIRFAST模拟其他氧合水平的数据。在每种分辨率下估计HbO和Hb浓度,并与真实血红蛋白浓度进行比较。

结果

对于高达10nm的分辨率,Hb浓度估计具有高精度,而HbO估计的变化更大。对于两种发色团,分辨率超过10nm时,估计的准确性逐渐降低。

结论

高达10nm的光谱分辨率可用于h-NIRS,而不会影响估计组织血液含量和氧合的准确性。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3577/12018911/f2b96775f572/JBO-030-047002-g001.jpg

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