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内核流:一种高通道计数可扩展的时域功能近红外光谱系统。

Kernel Flow: a high channel count scalable time-domain functional near-infrared spectroscopy system.

机构信息

Kernel, Los Angeles, California, United States.

出版信息

J Biomed Opt. 2022 Jan;27(7). doi: 10.1117/1.JBO.27.7.074710.

Abstract

SIGNIFICANCE

Time-domain functional near-infrared spectroscopy (TD-fNIRS) has been considered as the gold standard of noninvasive optical brain imaging devices. However, due to the high cost, complexity, and large form factor, it has not been as widely adopted as continuous wave NIRS systems.

AIM

Kernel Flow is a TD-fNIRS system that has been designed to break through these limitations by maintaining the performance of a research grade TD-fNIRS system while integrating all of the components into a small modular device.

APPROACH

The Kernel Flow modules are built around miniaturized laser drivers, custom integrated circuits, and specialized detectors. The modules can be assembled into a system with dense channel coverage over the entire head.

RESULTS

We show performance similar to benchtop systems with our miniaturized device as characterized by standardized tissue and optical phantom protocols for TD-fNIRS and human neuroscience results.

CONCLUSIONS

The miniaturized design of the Kernel Flow system allows for broader applications of TD-fNIRS.

摘要

意义

时域近红外光谱(TD-fNIRS)已被视为非侵入性光学脑成像设备的金标准。然而,由于成本高、复杂性高和体积大,它并没有像连续波近红外光谱系统那样被广泛采用。

目的

KernelFlow 是一种 TD-fNIRS 系统,旨在通过将所有组件集成到一个小型模块设备中,同时保持研究级 TD-fNIRS 系统的性能,来突破这些限制。

方法

KernelFlow 模块围绕小型化激光驱动器、定制集成电路和专用探测器构建。这些模块可以组装成一个系统,在整个头部具有密集的通道覆盖。

结果

我们通过针对 TD-fNIRS 和人类神经科学结果的标准化组织和光学体模协议来对我们的小型设备进行了表征,展示了与台式系统类似的性能。

结论

KernelFlow 系统的小型化设计允许更广泛地应用 TD-fNIRS。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9d8e/8765296/4f64e898fb4b/JBO-027-074710-g001.jpg

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