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Wavelength optimization of the spectral derivative method improves quantification of chromophore values in NIR reconstruction

机译:光谱导数方法的波长优化可改善NIR重建中发色团值的定量

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We present a wavelength optimization approach incorporating the spectral derivative method in near infrared (NIR) reconstruction. The similarity between spectral features of oxy-hemoglobin and water leads to difficulty in separating them with any spectral reconstruction method. By taking the difference of wavelength pairs and using a spectral derivative fitting method, this similarity can be broken down to better differentiate each set of two chromophores. Optimal wavelength permutations were chosen based on the criteria of minimum correlation of the differences in adjacent wavelengths. The direct and derivative methods were then compared with optimal wavelength sets in two and three dimensional reconstructions. The wavelength optimized derivative method shows superior results in the recovery of chromophore concentrations. This approach can not only yield reduced coupling and geometry errors, it also shows better separation of one chromophore from others.
机译:我们提出了一种在近红外(NIR)重建中结合光谱导数法的波长优化方法。氧合血红蛋白和水的光谱特征之间的相似性导致难以通过任何光谱重建方法将它们分离。通过获取波长对的差异并使用光谱导数拟合方法,可以打破这种相似性以更好地区分两个生色团的每组。基于相邻波长差异的最小相关标准选择最佳波长排列。然后将直接和导数方法与二维和三维重建中的最佳波长集进行比较。波长优化的导数方法在发色团浓度的恢复中显示出优异的结果。这种方法不仅可以减少耦合和几何误差,还可以更好地分离一种生色团。

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