Sound Processing Improves Audibility of Music/Speech in fMRI
University of Vermont
posted on 08/16/2010
Acoustic analysis and equalization mitigate fRMI noise without requiring special hardware.
Suggested Uses
The system could be commercialized by fMRI equipment manufacturers as well as companies that produce products for speech and music communication.
Detailed Description
Noise produced by functional MRI impedes the audibility of music and speech while causing distraction. When studies of auditory stimuli are performed or the patient needs to hear spoken information, this noise can compromise the value, accuracy, and convenience of fMRI studies.
Sound Analysis & Processing
Current approaches to noise mitigation involve hardware-intensive solutions such as active phase cancelation.
A new approach measures the frequency components across the acoustic power spectrum emitted by the MRI device. This can be done manually or automatically, and either during the MRI procedure or in advance.
Processing can be applied to digitally recorded or live audio. A parametric equalizer increases frequency components in proportion to the acoustic power spectrum measurements taken from the MRI equipment.
Further processing includes attenuation of overall level to prevent overmodulation, dynamic range compression, and increasing gain to improve audibility.
When real-time processing is applied to spoken questions and instructions, communication improves between the patient and the MRI operator.
Software Solutions
The system may be embodied as a preprocessing algorithm that can be implemented with commercial audio editing software. It may also be offered as a plug-in for audio software.
An additional option is use of the audio analysis and processing with active phase cancelation technology. This combined approach could yield results unobtainable by either method alone.
Patent / Licensing Status
Patent pending. Exclusive rights available.
File Number: 404
This innovation currently is not available for online licensing. Please contact Todd Keiller at University of Vermont for more information.
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