Literature DB >> 11785805

Active control of the volume acquisition noise in functional magnetic resonance imaging: method and psychoacoustical evaluation.

J Chambers1, M A Akeroyd, A Q Summerfield, A R Palmer.   

Abstract

Functional magnetic resonance imaging (fMRI) provides a noninvasive tool for observing correlates of neural activity in the brain while a subject listens to sound. However, intense acoustic noise is generated in the process of capturing MR images. This noise stimulates the auditory nervous system, limiting the dynamic range available for displaying stimulus-driven activity. The noise is potentially damaging to hearing and is distracting for the subject. In an active noise control (ANC) system, a reference sample of a noise is processed to form a sound which adds destructively with the noise at the listener's ear. We describe an implementation of ANC in the electromagnetically hostile and physically compact MRI scanning environment. First, a prototype system was evaluated psychoacoustically in the laboratory, using the electrical drive to a noise-generating loudspeaker as the reference. This system produced 10-20 dB of subjective noise-reduction between 250 Hz and 1 kHz, and smaller amounts at higher frequencies. The system was modified to operate in a real MR scanner where the reference was obtained by recording the acoustic scanner noise. Objective reduction by 30-40 dB of the most intense component in scanner noises was realized between 500 Hz and 3500 Hz, and subjective reduction of 12 dB and 5 dB in tests at frequencies of 600 Hz and at 1.9 kHz, respectively. Although the benefit of ANC is limited by transmission paths to the cochlea other than air-conduction routes from the auditory meatus, ANC achieves worthwhile attenuation even in the frequency range of maximum bone conduction (1.5-2 kHz). ANC should, therefore, be generally useful during auditory fMRI.

Mesh:

Substances:

Year:  2001        PMID: 11785805     DOI: 10.1121/1.1408948

Source DB:  PubMed          Journal:  J Acoust Soc Am        ISSN: 0001-4966            Impact factor:   1.840


  12 in total

Review 1.  Acoustic noise concerns in functional magnetic resonance imaging.

Authors:  Adriaan Moelker; Peter M T Pattynama
Journal:  Hum Brain Mapp       Date:  2003-11       Impact factor: 5.038

2.  Assessment of temporal state-dependent interactions between auditory fMRI responses to desired and undesired acoustic sources.

Authors:  O Olulade; S Hu; J Gonzalez-Castillo; G G Tamer; W-M Luh; J L Ulmer; T M Talavage
Journal:  Hear Res       Date:  2011-03-21       Impact factor: 3.208

3.  Extraction of overt verbal response from the acoustic noise in a functional magnetic resonance imaging scan by use of segmented active noise cancellation.

Authors:  Kwan-Jin Jung; Parikshit Prasad; Yulin Qin; John R Anderson
Journal:  Magn Reson Med       Date:  2005-03       Impact factor: 4.668

4.  In situ active control of noise in a 4 T MRI scanner.

Authors:  Mingfeng Li; Brent Rudd; Teik C Lim; Jing-Huei Lee
Journal:  J Magn Reson Imaging       Date:  2011-07-12       Impact factor: 4.813

5.  Simulation study on active noise control for a 4-T MRI scanner.

Authors:  Mingfeng Li; Teik C Lim; Jing-Huei Lee
Journal:  Magn Reson Imaging       Date:  2007-12-03       Impact factor: 2.546

6.  Silent echo-planar imaging for auditory FMRI.

Authors:  S Schmitter; E Diesch; M Amann; A Kroll; M Moayer; L R Schad
Journal:  MAGMA       Date:  2008-08-21       Impact factor: 2.310

7.  Characterizing response to elemental unit of acoustic imaging noise: an FMRI study.

Authors:  Gregory G Tamer; Wen-Ming Luh; Thomas M Talavage
Journal:  IEEE Trans Biomed Eng       Date:  2009-03-16       Impact factor: 4.538

8.  Temporal pattern of acoustic imaging noise asymmetrically modulates activation in the auditory cortex.

Authors:  Ruwan D Ranaweera; Minseok Kwon; Shuowen Hu; Gregory G Tamer; Wen-Ming Luh; Thomas M Talavage
Journal:  Hear Res       Date:  2015-10-28       Impact factor: 3.208

9.  A real-time data acquisition and control of gradient coil noise for fMRI identification of hearing disorder in children with history of ear infection.

Authors:  Jaeseung Lee; James Holte; E Russell Ritenour
Journal:  Quant Imaging Med Surg       Date:  2013-02

10.  All-night functional magnetic resonance imaging sleep studies.

Authors:  Thomas M Moehlman; Jacco A de Zwart; Miranda G Chappel-Farley; Xiao Liu; Irene B McClain; Catie Chang; Hendrik Mandelkow; Pinar S Özbay; Nicholas L Johnson; Rebecca E Bieber; Katharine A Fernandez; Kelly A King; Christopher K Zalewski; Carmen C Brewer; Peter van Gelderen; Jeff H Duyn; Dante Picchioni
Journal:  J Neurosci Methods       Date:  2018-09-20       Impact factor: 2.390

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