Evaluation of light detector surface area for functional Near Infrared Spectroscopy
Evaluation of light detector surface area for functional Near Infrared Spectroscopy
复制标题
功能性近红外光谱的光探测器表面积评估
DOI：
10.1016/j.compbiomed.2017.07.019
复制
发表时间：
2017-10-01
影响因子：
7.7
通讯作者：
Onaral, Banu
中科院分区：
文献类型：
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作者：
Wang, Lei;Ayaz, Hasan;Onaral, Banu
功能性近红外光谱（fNIRS）是一种新兴的神经成像技术，其利用近红外光非侵入性地检测皮质氧合血红蛋白和脱氧血红蛋白的浓度变化。在头皮上使用光源和检测器，将多波长光强度记录为时间序列，并通过修改的Beer-Lambert定律将其转换为血红蛋白的浓度变化。在这里，我们描述了在血红蛋白变化和光强度测量的计算系统误差的潜在来源。先前的系统表征和分析研究考察了各种fNIRS参数，例如光源类型、波长的数量和选择、光源和检测器之间的距离。在这项研究中，我们分析了光探测器表面积对整体结果的贡献。从基于蒙特卡罗的数字幻影的结果表明，检测器面积的选择是一个关键的系统参数，在最大限度地减少浓度计算的误差。这些发现可以指导未来fNIRS传感器的设计。
Functional Near Infrared Spectroscopy (fNIRS) is an emerging neuroimaging technique that utilizes near infrared light to detect cortical concentration changes of oxy-hemoglobin and deoxy-hemoglobin non-invasively. Using light sources and detectors over the scalp, multi-wavelength light intensities are recorded as time series and converted to concentration changes of hemoglobin via modified Beer-Lambert law. Here, we describe a potential source for systematic error in the calculation of hemoglobin changes and light intensity measurements. Previous system characterization and analysis studies looked into various fNIRS parameters such as type of light source, number and selection of wavelengths, distance between light source and detector. In this study, we have analyzed the contribution of light detector surface area to the overall outcome. Results from Monte Carlo based digital phantoms indicated that selection of detector area is a critical system parameter in minimizing the error in concentration calculations. The findings here can guide the design of future fNIRS sensors.