Medical/MRI
FOMRI Noise Cancelling Microphones  IMROC Communications Systems
SPL Monitoring Sound Level Metering
Optoacoustics' Adaptive Noise Reduction
MRI operations produce acoustic noise levels as great as 130 dB, as well as very high electromagnetic and radio frequency noise. These noises are not just discomforting to patient and staff alike, they render standard microphones useless for communications.
Our advanced noise cancelling IMROC™ and FOMRI™ optical communications products enable simple, crystal-clear verbal communications once again among all MRI staff, as well as between doctors and MRI patients.
The samples below provide 'before and after' audio recordings and waveforms from typical MRI environments using Optoacoustics' patented fiber optical microphone technology.
Click on the  and  buttons to control each sound. Note that you may wish to lower the volume of your speakers before sampling these sounds.
Recent FOMRI Research References
 fMRI-Compatible Registration of Jaw Movements Using a Fiber-Optic
Bend Sensor.
Peter Sörös (Dept. of Communication Sciences and Disorders, University of South Carolina, USA),
Bradley J MacIntosh, Fred Tam and Simon J Graham
– J. Frontiers of Human Neuroscience, 2010 – Frontiers Research Fdn.
From Phonemes to Articulatory Codes: An fMRI Study of the Role
of Broca's Area in Speech Production.
M. Papoutsi (Centre for Speech, Language, and the Brain, Univ. of Cambridge, England),
J. A. de Zwart, J. Martijn Jansma, M. J. Pickering, J. A. Bednar and B. Horwitz
– Cerebral Cortex, 2009 – Oxford Univ. Press.
Strategies for Longitudinal Neuroimaging Studies of Overt Language
Production.
J. Meltzer (National Institutes of Health, Maryland, USA), W.A. Postman-Caucheteux, J. McArdle,
A. Braun – Neuroimage, 2009 – Elsevier.
Single-trial fMRI Shows Contralesional Activity Linked to Overt Naming
Errors in Chronic Aphasic Patients.
W.A. Postman-Caucheteux (National Institutes of Health, Maryland, USA), R. Birn, R. Pursley,
J. Butman, J. Solomon, D. Picchioni, J. McArdle and A. Braun
– Journal of Cognitive Neuroscience, 2009 – MIT Press.
The Separation of Processing Stages in a Lexical Interference
fMRI-Paradigm.
S. Abel (Dept. of Neurology, Univ. Hospital RWTH, Aachen, Germany), K. Dressel, R. Bitzer,
D. Kümmerer, I. Mader, C. Weiller and W. Huber – NeuroImage, 2009 – Elsevier.
Magnetic Resonance Imaging of the Velopharyngeal Area with
Simultaneous Speech Recordings.
Y. Bae, D. Kuehn, C. Conway and B. Sutton (Depts. of Speech and Hearing Science
& Bioengineering, Univ. of Illinois at Urbana-Champaign, Illinois, USA)
– ASHA Convention Presention, 2008 – American Speech-Language-Hearing Association.
An MRI Study of Vocalic Context Effects and Lip Rounding in the
Production of English Sibilants.
M. Proctor (Haskins Laboratories, Yale Univ., Massachusetts, USA) C. Shadle and K. Iskarous
– Speech Science & Technology, 2006 – ASSTA.
Measurements of MRI Scanning Noise Using an Optical Microphone.
T. Kitamura (ATR Human Information Science Laboratories, Japan), S. Masaki, Y. Shimada,
I. Fujimoto, Y. Syakudo and K. Honda – Journal of Acoustical Society of Japan, 2006 – sciencelinks.jp.
Recording High Quality Speech During Tagged Cine-MRI Studies Using a
Fiber Optic Microphone.
M. NessAiver (Dept. of Diagnostic Radiology, Univ. of Maryland Medical School, Maryland, USA),
M. Stone, V. Parthasarathy, Y. Kahana and A. Paritsky
– Journal of Magnetic Resonance Imaging, 2006 – Wiley-Liss.
Additional FOMRI research reference links are invited.
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