对同时研究肌肉血氧水平依赖性(BOLD)信号和肌电图(EMG)时出现的梯度伪影进行去噪处理。

IF 2.1 4区 医学 Q2 RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING
Alejandro Amador-Tejada , Joshua E. McGillivray , Dinesh A. Kumbhare , Michael D. Noseworthy
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引用次数: 0

摘要

在同时进行肌肉 BOLD/EMG 采集时,MR 引起的梯度伪影会影响 EMG 记录。然而,没有专用硬件能轻松去除梯度伪影,而替代方法又昂贵耗时。本研究旨在开发三种去噪方法,要求不同的处理水平和磁共振兼容硬件。在两个时间点,从 6 名参与者(性别比为 50:50,年龄 = 26.24.6 岁、身高 = 173.59.2 厘米,体重 = 71.511.4 千克),在三种条件下采用基于跖屈的分块设计,包括休息 30 秒,然后屈曲 30 秒,持续 5 分钟:在核磁共振成像孔内,使用或不使用 BOLD 序列(3 T、BOLD 序列、GRE EPI、10 切片、6464 矩阵、2 毫米厚度和 TE/TR/flip = 35/3000 ms/70),以及在核磁共振成像环境外。同时进行的 BOLD/EMG 记录使用平均赝象减去法进行去噪,有三种赝象模板创建方法,每种方法都有不同的时间和硬件要求。方法 M1 通过记录来自核磁共振成像的扫描仪触发来建立伪影模板;方法 M2 以 TR/[切片数]计算的恒定伪影周期来建立伪影模板;方法 M3 通过观察 EMG 记录中梯度伪影的周期来估计伪影模板。后处理后,进行信噪比分析,比较静止到屈曲期,以评估去噪方法的效果,并比较不同条件下的差异。线性混合效应模型显示,不同去噪方法的平均信噪比无显著差异(p = 0.656)。此外,EMG SNR 测量结果受磁场环境的显著影响(p
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Denoising of the gradient artifact present in simultaneous studies of muscle blood oxygen level dependent (BOLD) signal and electromyography (EMG)

The MR-induced gradient artifact affects EMG recordings during simultaneous muscle BOLD/EMG acquisitions. However, no dedicated hardware can remove the gradient artifact easily, and alternative methods are expensive and time-consuming. This study aimed to develop three denoising methods requiring different processing levels and MR-compatible hardware.

At two time points, surface EMG was recorded from the lower leg of 6 participants (50:50 sex ratio, age = 26.24.6 yrs., height = 173.59.2 cm, weight = 71.511.4 kg) using a plantar flexion-based block design consisting of 30s of rest followed by 30s of flexion for 5 min, under three conditions: inside the MRI bore, with and without a BOLD sequence (3 T, BOLD sequence, GRE EPI, 10 slices, 64×64 matrix, 2 mm thickness, and TE/TR/flip = 35/3000 ms/70), and outside the MRI environment. Simultaneous BOLD/EMG recordings were denoised using average artifact subtraction with three methods of artifact template creation, each having varying timing and hardware requirements. Method M1 builds the artifact template by recording the scanner triggers coming from the MRI; M2 creates the artifact template with a constant artifact period computed as TR/[number of slices]; M3 estimates the artifact template by looking at the periodicity of the gradient artifact located in the EMG recordings. Following postprocessing, SNR analysis was performed, comparing rest-to-flexion periods, to assess the efficacy of denoising methods and to compare differences between conditions.

Linear mixed-effects models showed no significant differences in the mean SNR between denoising methods (p = 0.656). Furthermore, EMG SNR measurements were significantly affected by the magnetic environment (p < 0.05) but not by muscle fatigue over time (p = 0.975).

EMG recordings contaminated with gradient artifacts during simultaneous BOLD/EMG can be efficiently denoised using all proposed methods, with two methods requiring no extra hardware. With minimal post-processing, EMG can easily be performed during muscle BOLD MRI studies.

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来源期刊
Magnetic resonance imaging
Magnetic resonance imaging 医学-核医学
CiteScore
4.70
自引率
4.00%
发文量
194
审稿时长
83 days
期刊介绍: Magnetic Resonance Imaging (MRI) is the first international multidisciplinary journal encompassing physical, life, and clinical science investigations as they relate to the development and use of magnetic resonance imaging. MRI is dedicated to both basic research, technological innovation and applications, providing a single forum for communication among radiologists, physicists, chemists, biochemists, biologists, engineers, internists, pathologists, physiologists, computer scientists, and mathematicians.
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