Dartmouth College, Thayer School of Engineering, Hanover, New Hampshire, United States.
Tufts University, Department of Biomedical Engineering, Medford, Massachusetts, United States.
J Biomed Opt. 2018 Jan;23(7):1-5. doi: 10.1117/1.JBO.23.7.071202.
An algorithm that selects optimal wavelengths for spectral fitting of diffuse light reflectance spectra using a nonnegative least squares method is presented. Oxyhemoglobin, deoxyhemoglobin, and water are considered representative absorbers, but the approach is not constrained or limited by absorber selection provided native basis spectra are available. The method removes wavelengths iteratively from a scattering-modulated absorption matrix by maximizing the product of its singular values and offers considerable improvements over previously published wavelength selection schemes. Resulting wavelength selections are valid for a broad range of optical properties and yield lower RMS errors than other wavelength combinations. The method is easily modified and broadly applicable to tissue optical spectroscopy. Adaptation of the algorithm to select optimal light-emitting diodes for fitting blood is described.
提出了一种使用非负最小二乘法对漫反射光反射光谱进行光谱拟合的最优波长选择算法。氧合血红蛋白、脱氧血红蛋白和水被认为是代表性的吸收体,但该方法不受吸收体选择的限制或约束,只要提供原始基础光谱即可。该方法通过最大化其奇异值的乘积从散射调制吸收矩阵中迭代地去除波长,并提供比以前发表的波长选择方案有相当大的改进。选择的波长适用于广泛的光学特性,并产生比其他波长组合更低的 RMS 误差。该方法易于修改,广泛适用于组织光学光谱学。描述了将算法改编为选择用于拟合血液的最佳发光二极管的方法。