| 功能性近红外光谱脑成像噪声源及去噪方法综述 |
| 投稿时间：2019-06-27 修订日期：2019-07-04 点此下载全文 |
| 引用本文：张阳阳,李征.功能性近红外光谱脑成像噪声源及去噪方法综述[J].红外,2019,40(7):35~46 |
| 摘要点击次数: 20 |
| 全文下载次数: 25 |
|
| 基金项目:国家重点基础研究发展计划(2014CB846100)；国家自然科学基金(61431002; 61401028)；中央高校基本科研业务费专项资金(2017XTCX04) |
|
| 中文摘要:综述了功能性近红外光谱脑成像噪声源及去噪方法。从成像原理、噪声来源和发生机制等方面分析并给出了抑制噪声的方法和操作，详细分析了干扰的组成成分及特性，给出了有效去除方法和提高近红外光谱脑成像分析建模过程中的信号质量算法。这些方法能对近红外光谱脑成像数据的分析和处理提供指导。总结了3种会影响近红外光谱脑成像信号的噪声源：电气噪声、实验设计和操作误差、生理伪影，给出了2种实用去噪算法，并阐述了成像技术的发展趋势。 |
| 中文关键词:光谱学 成像原理 噪声源 去噪方法 |
| |
| Review of Noise Sources and Denoising Methods Based on Functional Near-Infrared Spectroscopy for Brain Imaging |
|
|
| Abstract:The noise sources and denoising methods of functional near-infrared spectroscopy (fNIRS) brain imaging are reviewed. The method and operation of suppressing noise are analyzed and given from the aspects of imaging principle, noise source and occurrence mechanism. The composition and characteristics of the interference are analyzed in detail, the effective removal method is given, and the signal quality algorithm in the process of brain imaging analysis and modeling of near-infrared spectroscopy is improved. These methods can provide guidance for the analysis and processing of near-infrared spectroscopy brain imaging data. Three noise sources that affect near-infrared spectroscopy brain imaging signals are summarized: instrumental noise, experimental error and physiological interference from the body. Two practical denoising algorithms are given and the development trend of imaging technology is expounded. |
| keywords:spectroscopy imaging principle noise source denoising method |
| 查看全文 HTML 查看/发表评论 下载PDF阅读器 |