Real-time noise cancellation for speech acquired in interactive functional magnetic resonance imaging studies
| Autor: | Krystyna A. Mathiak, René Weber, Klaus Mathiak, Martin Klasen, Mikhail Zvyagintsev, J. Christopher Edgar |
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| Rok vydání: | 2010 |
| Předmět: |
Adult
Male Scanner Computer science Speech recognition Imaging Three-Dimensional medicine Humans Speech Microphone signal Radiology Nuclear Medicine and imaging Digital signal processing Active noise control Brain Mapping Neural correlates of consciousness medicine.diagnostic_test business.industry Subtraction Reproducibility of Results Signal Processing Computer-Assisted Magnetic Resonance Imaging Noise Artifacts business Functional magnetic resonance imaging |
| Zdroj: | Journal of Magnetic Resonance Imaging. 32:705-713 |
| ISSN: | 1053-1807 |
| Popis: | Purpose: To present online scanner noise cancellation for speech acquired in functional magnetic resonance imaging (fMRI) studies. Materials and Methods: 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. Results: 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. Conclusion: 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. J. Magn. Reson. Imaging 2010;32:705–713. © 2010 Wiley-Liss, Inc. |
| Databáze: | OpenAIRE |
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