A Flexible fNIRS System Employing Super-resolution Technique for Nature-Scenario High-Resolution Brain Functional Imaging

Yuxiang Lin, Zhouchen Ma, Cheng Chen, Nabil Sabor
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Abstract

Due to the lack of equipment, it is difficult to simultaneously study the brain activity of multiple subjects in natural scenarios. This paper proposes an flexible and lightweight wearable fNIRS system, which combines flexible sensor array and super-resolution algorithm to achieve both high spatial resolution and lightweight. The measured results show the PSNR values of acquired brain images between the super-resolution reconstruct image and the original HR image is 50.44 dB at a down sampling rate of 2, which implies that the hardware cost can be reduced by 4 × , without sacrifices the spatial resolution.
采用超分辨率技术的灵活fNIRS系统用于自然场景高分辨率脑功能成像
由于设备的缺乏,很难同时研究自然场景下多受试者的大脑活动。本文提出了一种柔性轻量化可穿戴fNIRS系统,该系统将柔性传感器阵列与超分辨率算法相结合,实现了高空间分辨率和轻量化。测量结果表明,在降采样率为2的情况下,获得的超分辨率重建图像与原始HR图像之间的PSNR值为50.44 dB,这意味着在不牺牲空间分辨率的情况下,硬件成本可以降低4倍。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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