Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Experiment Videos

Repeatability and variability of noise generated during MRI.

G H C Tseng1, T M Talavage, R S Hinks

  • 1Electr. & Comput. Eng., Purdue Univ., West Lafayette, IN, USA.

Conference Proceedings : ... Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual Conference
|February 3, 2007
PubMed
Summary
This summary is machine-generated.

Related Concept Videos

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

DTI Detection of Longitudinal WM Abnormalities Due to Accumulated Head Impacts.

Developmental neuropsychology·2015
Same author

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

Hearing research·2011
Same author

fMRI study of brain activity elicited by oral parafunctional movements.

Journal of oral rehabilitation·2009
Same author

Characterizing the attenuation and/or saturation effect of the acoustic scanner noise in auditory event-related functional magnetic resonance imaging.

Conference proceedings : ... Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual Conference·2007
Same author

Characterizing the amplitude and spatial extent of the cortical response in auditory cortex to acoustic scanner noise generated during echo-planar image acquisition in functional magnetic resonance imaging.

Conference proceedings : ... Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual Conference·2007
Same author

Real-time shimming to compensate for respiration-induced B0 fluctuations.

Magnetic resonance in medicine·2007

This study suggests using recorded MRI noise for active noise cancellation, reducing fMRI errors. This method is simpler than predictive algorithms for improving auditory stimulus fMRI.

Area of Science:

  • Medical Imaging
  • Neuroscience
  • Acoustics

Background:

  • Acoustic noise is a significant issue in Magnetic Resonance Imaging (MRI) and functional MRI (fMRI).
  • This noise causes patient discomfort and can introduce errors in fMRI studies, particularly those involving auditory stimuli.
  • Previous noise reduction techniques achieved 4 to 30 dB sound pressure level (SPL) attenuation using active noise cancellation and predictive algorithms.

Purpose of the Study:

  • To propose a novel approach for reducing MRI acoustic noise.
  • To investigate the consistency of MRI noise across different sessions.
  • To enable the use of recorded noise for active noise cancellation in fMRI.

Main Methods:

  • The study hypothesizes that MRI-generated noise is consistent across sessions.

Related Experiment Videos

  • This consistency allows for the pre-recording of noise profiles.
  • The recorded noise can then be used to generate anti-noise for active cancellation.

    • Main Results:

    • The core finding is the proposed consistency of MRI noise.
    • This consistency validates the use of recorded noise for active noise cancellation.
    • The proposed method offers a simpler alternative to complex predictive algorithms.

    Conclusions:

    • MRI acoustic noise exhibits session-to-session consistency.
    • Recorded MRI noise can effectively drive active noise cancellation systems.
    • This approach simplifies noise reduction in fMRI, enhancing data quality for auditory studies.