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Investigation of spectral interferences on the accuracy of broadband CW-NIRS tissue SO2 determination

机译:光谱干扰对宽带CW-NIRS组织SO 2 测定准确性的影响

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An accurate SO2 prediction method for using broadband continuous-wave diffuse reflectance near infrared (NIR) spectroscopy is proposed. The method fitted the NIR spectra to a Taylor expansion attenuation model, and used the simulated annealing method to initialize the nonlinear least squares fit. This paper investigated the effect of potential spectral interferences that are likely to be encountered in clinical use, on SO2 prediction accuracy. The factors include the concentration of hemoglobin in blood, the volume of blood and volume of water in the tissue under the sensor, reduced scattering coefficient, μs', of the muscle, fat thickness and the source-detector spacing. The SO2 prediction method was evaluated on simulated muscle spectra as well as on dual-dye phantoms which simulate the absorbance of oxygenated and deoxygenated hemoglobin.
机译:提出了一种利用宽带连续波漫反射近红外(NIR)光谱法精确预测SO2的方法。该方法将近红外光谱拟合为泰勒展开衰减模型,并使用模拟退火方法初始化非线性最小二乘拟合。本文研究了临床使用中可能遇到的潜在光谱干扰对SO2预测准确性的影响。这些因素包括血液中的血红蛋白浓度,传感器下的组织中的血液量和水量,肌肉的散射系数(μs')减小,脂肪厚度和源-检测器间距。在模拟的肌肉光谱以及模拟氧化和脱氧血红蛋白吸收的双染料模型上评估了SO2预测方法。

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