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首页> 外文会议>Conference on imaging, manipulation, and analysis of biomolecules, cells, and tissues XIII >Estimating skin blood saturation by selecting a subset of hyperspectral imaging data
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Estimating skin blood saturation by selecting a subset of hyperspectral imaging data

机译：通过选择高光谱成像数据的子集来估算皮肤血液饱和度

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Skin blood haemoglobin saturation (s_b) can be estimated with hyperspectral imaging using the wavelength (λ) range of 450-700 nm where haemoglobin absorption displays distinct spectral characteristics. Depending on the image size and photon transport algorithm, computations may be demanding. Therefore, this work aims to evaluate subsets with a reduced number of wavelengths for s_b estimation. White Monte Carlo simulations are performed using a two-layered tissue model with discrete values for epidermal thickness (T_(epi)) and the reduced scattering coefficient (μ'_s), mimicking an imaging setup. A detected intensity look-up table is calculated for a range of model parameter values relevant to human skin, adding absorption effects in the post-processing. Skin model parameters, including absorbers, are; μ'_s(λ), T_(epi), haemoglobin saturation (s_b), tissue fraction blood (c_b) and tissue fraction melanin (c_(mel)). The skin model paired with the look-up table allow spectra to be calculated swiftly. Three inverse models with varying number of free parameters are evaluated: A(s_b, c_b), B(s_b, c_b, c_(mel)) and C(all parameters free). Fourteen wavelength candidates are selected by analysing the maximal spectral sensitivity to s_b and minimizing the sensitivity to c_b. All possible combinations of these candidates with three, four and 14 wavelengths, as well as the full spectral range, are evaluated for estimating s_b for 1000 randomly generated evaluation spectra. The results show that the simplified models A and B estimated s_b accurately using four wavelengths (mean error 2.2% for model B). If the number of wavelengths increased, the model complexity needed to be increased to avoid poor estimations.
机译：使用450-700nm的波长（λ）范围为450-700nm的波长（λ）范围，可以用高光谱成像估计皮肤血红蛋白饱和度（S_B）。血红蛋白吸收显示不同的光谱特性。根据图像尺寸和光子传输算法，计算可能需要苛刻。因此，该工作旨在评估具有减少的S_B估计的波长数量的子集。使用双层组织模型进行白色蒙特卡罗模拟，其具有离散值的表皮厚度（T_（epi））和减小的散射系数（μ'_s），模拟成像设置。检测到的强度查找表是针对人体皮肤相关的一系列模型参数值计算的，在后处​​理中添加吸收效应。皮肤模型参数，包括吸收器; μ'_s（λ），t_（epi），血红蛋白饱和度（s_b），组织分数血液（c_b）和组织馏分黑色素（c_（mel））。与查找表配对的皮肤模型允许Spectra迅速计算。评估具有变化数量的自由参数的三个逆模型：（S_B，C_B），B（S_B，C_B，C_（MEL））和C（无数参数免费）。通过分析到S_B的最大光谱灵敏度并使C_B的灵敏度最小化来选择十四个波长候选。这些候选物的所有可能组合具有三个，四个和14个波长以及全光谱范围，用于估计1000个随机产生的评估光谱的S_B。结果表明，简化模型A和B使用四个波长精确地估计S_B（模型B的平均误差2.2％））。如果波长的数量增加，则需要增加模型复杂性以避免差的估计。

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