Suppr超能文献

基于相位的结构化询问频域近红外光谱技术

Phase-based structured interrogation frequency-domain near-infrared spectroscopy.

作者信息

Abdalsalam Ola, Howard Scott, O'Sullivan Thomas D

出版信息

J Opt Soc Am A Opt Image Sci Vis. 2024 Aug 1;41(8):1500-1512. doi: 10.1364/JOSAA.523194.

Abstract

Frequency-domain near-infrared spectroscopy (FD-NIRS) is a noninvasive method for quantitatively measuring optical absorption and scattering in tissue. This study introduces structured interrogation (SI) as an interference-based approach for implementing FD-NIRS in order to enhance optical property estimation in multilayered tissues and sensitivity to deeper layers. We find that, in the presence of realistic noise, SI accurately estimates properties and chromophore concentrations with less than a 5% error. Particularly noteworthy, the phase-only component of SI FD-NIRS can quantify both the optical absorption and reduced scattering in homogeneous tissues and shows a 20% improved sensitivity to absorption changes in deeper tissues compared to conventional methods. We show that this enhanced sensitivity is promising for improving the accuracy of functional brain monitoring in the cortex of an infant with less superficial contamination.

摘要

频域近红外光谱(FD-NIRS)是一种用于定量测量组织中光吸收和散射的非侵入性方法。本研究引入结构化询问(SI)作为一种基于干涉的方法来实现FD-NIRS,以增强对多层组织光学特性的估计以及对深层的敏感度。我们发现,在存在实际噪声的情况下,SI能够以小于5%的误差准确估计特性和发色团浓度。特别值得注意的是,SI FD-NIRS的仅相位分量能够量化均匀组织中的光吸收和减少的散射,并且与传统方法相比,对深层组织中吸收变化的敏感度提高了20%。我们表明,这种增强的敏感度有望提高对婴儿皮层进行功能脑监测的准确性,且表面污染较少。

相似文献

本文引用的文献

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验