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Optical property uncertainty estimates for spatial frequency domain imaging

机译:空间频域成像的光学性质不确定性估计

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摘要

Spatial frequency domain imaging (SFDI) is a wide-field diffuse optical imaging modality that has attracted considerable interest in recent years. Typically, diffuse reflectance measurements of spatially modulated light are used to quantify the optical absorption and reduced scattering coefficients of tissue, and with these, chromophore concentrations are extracted. However, uncertainties in estimated absorption and reduced scattering coefficients are rarely reported, and we know of no method capable of providing these when look-up table (LUT) algorithms are used to recover the optical properties. We present a method to generate optical property uncertainty estimates from knowledge of diffuse reflectance measurement errors. By employing the Cramér-Rao bound, we can quickly and efficiently explore theoretical SFDI performance as a function of spatial frequencies and sample optical properties, allowing us to optimize spatial frequency selection for a given application. In practice, we can also obtain useful uncertainty estimates for optical properties recovered with a two-frequency LUT algorithm, as we demonstrate with tissue-simulating phantom and in vivo experiments. Finally, we illustrate how absorption coefficient uncertainties can be propagated forward to yield uncertainties for chromophore concentrations, which could significantly impact the interpretation of experimental results.
机译:空间频域成像(SFDI)是一种广域漫射光学成像模式,近年来引起了人们的极大兴趣。通常,使用空间调制光的漫反射率测量来量化组织的光吸收和降低的散射系数,并以此提取生色团浓度。然而,估计吸收和降低的散射系数的不确定性很少报道,而且当使用查找表(LUT)算法恢复光学特性时,我们还没有方法能够提供这些不确定性。我们提出了一种从漫反射测量误差的知识中产生光学性能不确定性估计的方法。通过采用Cramér-Rao界,我们可以快速有效地探索理论SFDI性能与空间频率和样本光学特性的函数关系,从而使我们能够针对给定的应用优化空间频率选择。在实践中,如组织模拟体模和体内实验所证明的,我们还可以获得使用两频LUT算法恢复的光学特性的有用不确定性估计。最后,我们说明了吸收系数的不确定性如何传播到生色团浓度的不确定性,这可能会大大影响实验结果的解释。

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