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Contribution of speckle noise in near-infrared spectroscopy measurements

机译:散斑噪声在近红外光谱测量中的贡献

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摘要

Near-infrared spectroscopy (NIRS) is widely used in biomedical optics with applications ranging from basic science, such as in functional neuroimaging, to clinical, as in pulse oximetry. Despite the relatively low absorption of tissue in the near-infrared, there is still a significant amount of optical attenuation produced by the highly scattering nature of tissue. Because of this, designers of NIRS systems have to balance source optical power and source–detector separation to maximize the signal-to-noise ratio (SNR). However, theoretical estimations of SNR neglect the effects of speckle. Speckle manifests as fluctuations of the optical power received at the detector. These fluctuations are caused by interference of the multiple random paths taken by photons in tissue. We present a model for the NIRS SNR that includes the effects of speckle. We performed experimental validations with a NIRS system to show that it agrees with our model. Additionally, we performed computer simulations based on the model to estimate the contribution of speckle noise for different collection areas and source–detector separations. We show that at short source–detector separation, speckle contributes most of the noise when using long coherence length sources. Considering this additional noise is especially important for hybrid applications that use NIRS and speckle contrast simultaneously, such as in diffuse correlation spectroscopy.
机译:近红外光谱(NIRS)广泛用于生物医学光学,其应用范围从基础科学(如功能性神经成像)到临床(如脉搏血氧饱和度测定)。尽管组织在近红外中的吸收相对较低,但由于组织的高度散射性,仍会产生大量的光衰减。因此,NIRS系统的设计人员必须平衡光源的光功率和光源-探测器之间的距离,以最大程度地提高信噪比(SNR)。但是,SNR的理论估计忽略了斑点的影响。斑点表现为检测器接收到的光功率的波动。这些波动是由光子在组织中采取的多个随机路径的干扰引起的。我们提出了一种NIRS SNR模型,其中包括斑点效应。我们使用NIRS系统进行了实验验证,以表明它与我们的模型一致。此外,我们基于模型进行了计算机仿真,以估计散斑噪声对不同收集区域和源-检测器分离的影响。我们显示,在短距离的源-检测器分离中,使用长的相干长度源时,斑点会导致大部分噪声。对于同时使用NIRS和散斑对比度的混合应用(例如在扩散相关光谱中),考虑到这种额外的噪声尤为重要。

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