Literature DB >> 15678480

Automated post-hoc noise cancellation tool for audio recordings acquired in an MRI scanner.

Rhodri Cusack1, Nick Cumming, Daniel Bor, Dennis Norris, Johannes Lyzenga.   

Abstract

There are several types of experiment in which it is useful to have subjects speak overtly in a magnetic resonance imaging (MRI) scanner, including those studying the articulatory apparatus and the neural basis of speech production, and fMRI experiments in which speech is used as a response modality. Although it is relatively easy to record sound from the bore, it can be difficult to hear the speech over the very loud acoustic noise from the scanner. This is particularly a problem during echo-planar imaging, which is usually used for fMRI. We present a post-hoc sound cancellation algorithm, and describe a Windows-based tool that implements it. The tool is fast and operates with minimal user intervention. We evaluate cancellation performance in terms of the improvement in signal-to-noise ratio, and investigate the effect of the recording medium. A substantial improvement in audibility was obtained. (c) 2005 Wiley-Liss, Inc.

Mesh:

Year:  2005        PMID: 15678480      PMCID: PMC6871669          DOI: 10.1002/hbm.20085

Source DB:  PubMed          Journal:  Hum Brain Mapp        ISSN: 1065-9471            Impact factor:   5.038


  17 in total

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Review 3.  Auditory noise associated with MR procedures: a review.

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Journal:  Hum Brain Mapp       Date:  2002-01       Impact factor: 5.038

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7.  Determination of gradient magnetic field-induced acoustic noise associated with the use of echo planar and three-dimensional, fast spin echo techniques.

Authors:  F G Shellock; M Ziarati; D Atkinson; D Y Chen
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8.  The use of active noise control (ANC) to reduce acoustic noise generated during MRI scanning: some initial results.

Authors:  M McJury; R W Stewart; D Crawford; E Toma
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9.  Reversed lateralization of temporal activation during speech production in thought disordered patients with schizophrenia.

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  10 in total

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Review 8.  Methodological challenges and solutions in auditory functional magnetic resonance imaging.

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  10 in total

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