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QUANTIFICATION IN TISSUE NEAR-INFRARED SPECTROSCOPY

机译:组织近红外光谱的定量

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In near-infrared spectroscopy (NIRS) of tissue, light attenuation is due to: (i) absorption from chromophores of fixed concentration, (ii) absorption from chromophores of variable concentration, and (iii) light scatter. NIRS is usually concerned with trying to quantify the concentrations of chromophores in category (ii), in particular oxy- and deoxyhaemoglobin (HbO(2) and Hb) and cytochrome oxidase. In the absence of scatter the total light absorption in the medium is a linear sum of that due to each chromophore. In a scattering medium like tissue, this linear summation is distorted because the optical path length at each wavelength may differ. This distorted spectrum is then superimposed upon a further wavelength-dependent attenuation arising from light loss due to scatter, which is a complex function of the tissue absorption and scattering coefficients (mu(s) and mu(s)), scattering phase function, and tissue and measurement geometry. Consequently, quantification of NIRS data is difficult. Over the past 20 years many differing approaches to quantification have been tried. The development of methods for measuring optical path length in tissue initially enabled changes in concentration to be quantified, and subsequently methods for absolute quantification of HbO(2) and Hb were developed by correlating NIRS changes with an independent measurement of arterial haemoglobin saturation. Absolute determination of tissue optical properties, however, requires additional information over and above the detected intensity at the tissue surface, which must then be combined with a model of light transport to derive mu(s) and mu(s). The additional data can take many forms, e.g. the change in intensity with distance, the temporal dispersion of light from an ultrashort input light pulse, or phase, and modulation depth changes of intensity-modulated light. All these approaches are now being actively pursued with considerable success. However, all the approaches are limited by the accuracy of the light transport models, especially in inhomogeneous media. [References: 69]
机译:在组织的近红外光谱(NIRS)中,光衰减是由于:(i)从固定浓度的生色团吸收,(ii)从可变浓度的生色团吸收,以及(iii)光散射。 NIRS通常与尝试量化(ii)类中发色团的浓度有关,尤其是氧化和脱氧血红蛋白(HbO(2)和Hb)和细胞色素氧化酶的浓度。在没有散射的情况下,介质中的总光吸收量是每个生色团导致的光吸收量的线性和。在像组织这样的散射介质中,此线性求和是失真的,因为每个波长的光程长度可能不同。然后,将这种扭曲的光谱叠加到由由于散射引起的光损耗引起的与波长有关的进一步衰减上,这是组织吸收和散射系数(mu(s)和mu(s)),散射相位函数和组织和测量几何。因此,很难对NIRS数据进行量化。在过去的20年中,尝试了许多不同的量化方法。测量组织中光程长度的方法的开发最初使浓度变化得以量化,随后通过将NIRS变化与独立的动脉血红蛋白饱和度相关联来开发HbO(2)和Hb的绝对定量方法。然而,组织光学性质的绝对确定需要在组织表面处检测到的强度以外的附加信息,然后必须将其与光传输模型组合以得出mu和mu。附加数据可以采用多种形式,例如强度随距离的变化,来自超短输入光脉冲或相位的光的时间色散以及强度调制光的调制深度变化。现在,所有这些方法都在积极地寻求成功。但是,所有方法都受到光传输模型准确性的限制,尤其是在非均匀介质中。 [参考:69]

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