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

Post-registration spatial filtering to reduce noise in functional MRI data sets.

L C Maas1, P F Renshaw

  • 1Brain Imaging Center, McLean Hospital, Belmont, MA 02478, USA. lcmaas@mclean.harvard.edu

Magnetic Resonance Imaging
|November 27, 1999
PubMed
Summary

Image registration in functional MRI can cause artifacts. This study introduces a spatial filtering technique to reduce these artifacts, improving data accuracy in both simulated and human experiments.

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

Baseline brain function in the preadolescents of the ABCD Study.

Nature neuroscience·2021
Same author

Unique prefrontal GABA and glutamate disturbances in co-occurring bipolar disorder and alcohol dependence.

Translational psychiatry·2017
Same author

Animal models to improve our understanding and treatment of suicidal behavior.

Translational psychiatry·2017
Same author

Predisposition to and effects of methamphetamine use on the adolescent brain.

Molecular psychiatry·2015
Same author

Identifying rare variants for genetic risk through a combined pedigree and phenotype approach: application to suicide and asthma.

Translational psychiatry·2014
Same author

A review of MR spectroscopy studies of pediatric bipolar disorder.

AJNR. American journal of neuroradiology·2014

Area of Science:

  • Neuroimaging
  • Medical Image Analysis
  • Signal Processing

Background:

  • Functional magnetic resonance imaging (fMRI) analysis relies heavily on image registration for accurate data alignment.
  • The artifacts introduced during the image registration process, particularly high-frequency losses, are not fully understood.
  • Artifacts can be categorized into acquisition-related and resampling-related types.

Purpose of the Study:

  • To describe and illustrate the high-frequency losses and artifacts inherent in fMRI image registration.
  • To introduce and evaluate a novel post-registration spatial filtering technique to mitigate these artifacts.
  • To quantify the effectiveness of the proposed filtering method in reducing errors.

Main Methods:

  • Conceptual division of artifacts into acquisition- and resampling-related categories.

Related Experiment Videos

  • Use of simulated and experimental fMRI data to demonstrate artifacts.
  • Implementation and assessment of a spatial filtering technique applied after image registration (frequency regridding and bilinear interpolation).
  • Calculation of root mean square (RMS) difference errors and regression analysis.

    • Main Results:

    • Simulated data showed RMS difference errors of 0.74% (frequency regridding) and 2.62% (bilinear interpolation) after correcting one degree of rotation.
    • Human experiments indicated RMS difference error increases of 0.69% to 1.31% per degree with regridding.
    • The proposed spatial filtering reduced RMS error by 49.6% in simulated data and 17.4%–32.5% in human experiments.

    Conclusions:

    • Image registration introduces significant high-frequency losses and artifacts in fMRI data.
    • A post-registration spatial filtering technique effectively reduces noise and improves accuracy.
    • The filtering method offers a valuable tool for enhancing the quality of registered fMRI datasets.