Department of Psychiatry and Psychotherapy, JARA-Translational Brain Research, RWTH Aachen University, Aachen, Germany.
J Magn Reson Imaging. 2010 Sep;32(3):705-13. doi: 10.1002/jmri.22285.
To present online scanner noise cancellation for speech acquired in functional magnetic resonance imaging (fMRI) studies.
An online active noise cancellation method for speech acquired in fMRI studies was developed. The approach consists of two automated steps: 1) creation of an MR noise template in a short "test" fMRI scan; 2) application of the template for automatic recognition and subtraction of the MR noise from the acquired microphone signal during an fMRI study. The method was applied in an experimental paradigm where a subject and an investigator communicated in an interactive verbal generation task during fMRI.
By applying online active noise cancellation, the quality of the subject's speech was substantially improved. The present approach was found to be flexible, reliable, and easy to implement, providing a method for fMRI studies that investigate the neural correlates of interactive speech communication.
Using online noise cancellation it is possible to improve the quality of acquired speech in fMRI. This approach may be recommended for interactive fMRI studies.
介绍用于功能磁共振成像（fMRI）研究中语音采集的在线扫描仪噪声消除技术。
开发了一种用于 fMRI 研究中语音采集的在线主动噪声消除方法。该方法包括两个自动化步骤：1）在短时间的“测试” fMRI 扫描中创建磁共振噪声模板；2）在 fMRI 研究期间，将模板应用于自动识别和从采集的麦克风信号中减去磁共振噪声。该方法应用于一个实验范式中，在该范式中，受试者和研究者在 fMRI 期间进行交互式口头生成任务的交流。
通过应用在线主动噪声消除，受试者的语音质量得到了显著改善。本研究发现该方法具有灵活性、可靠性和易于实施的特点，为研究交互式言语交流的神经相关性的 fMRI 研究提供了一种方法。
使用在线噪声消除可以提高 fMRI 中采集语音的质量。这种方法可能会被推荐用于交互式 fMRI 研究。
