频域
功能近红外光谱
探测器
光谱学
频率调制
度量(数据仓库)
同种类的
漫反射光学成像
近红外光谱
光学
计算机科学
调制(音乐)
生物系统
材料科学
无线电频率
人工智能
物理
声学
迭代重建
计算机视觉
电信
数据挖掘
认知
量子力学
神经科学
生物
前额叶皮质
热力学
作者
Ola S. A. Abdalsalam,Nicholas Ross,Guy A. Perkins,Robin Dale,Hamid Dehghani,Thomas D. O'Sullivan,Silvina Laura Ferrada
摘要
Frequency-domain near-infrared spectroscopy (FD-NIRS) can measure absolute tissue optical properties for functional brain imaging. Multiple source-detector separations (SDS), and multiple modulation frequencies can be used for FD-NIRS application in homogeneous or multi-layer tissue models. A multiple-frequency approach is advantageous in building more compact systems with a single SDS. In this work, we compare the accuracy of estimating absolute optical properties of a multi-layered tissue model using multi-distance and multi-frequency approaches. We demonstrate that the multiple-frequency approach is comparable in accuracy to the multiple-distance approach and can be confidently implemented for brain imaging applications.
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