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

Parallel imaging techniques in functional MRI.

Xavier Golay1, Jacco A de Zwart, Yi-Ching Lynn Ho

  • 1Department of Neuroradiology, National Neuroscience Institute, Singapore. Xavier_Golay@nni.com.sg

Topics in Magnetic Resonance Imaging : TMRI
|November 19, 2004
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

Thalamic involvement defines distinct slow-wave subtypes in NREM sleep.

Communications biology·2026
Same author

Mesoscale Whole-Brain T<sub>2</sub>*-Weighted and Associated Quantitative MRI in Humans at 10.5 T.

Magnetic resonance in medicine·2026
Same author

Archetypes of Family Health Climates for Nutrition and Physical Activity Among Families in Singapore: A Cross-Sectional Study.

Healthcare (Basel, Switzerland)·2026
Same author

Sleep-stage dependent patterning of slowly propagating brain activity.

Npj biological timing and sleep·2026
Same author

Physical performance measures associated with life space of older adults.

Aging clinical and experimental research·2025
Same author

Out-of-home activities motivating older adults' participation in the community.

International journal of health geographics·2025
Same journal

Automated Diagnosis of Breast Cancer Using Deep Learning Techniques Applied to Digital Mammography and Magnetic Resonance Images.

Topics in magnetic resonance imaging : TMRI·2026
Same journal

Assessment of Brain Tumor Response to Radiotherapy Using Noninvasive Spectroscopic Magnetic Resonance Imaging Techniques.

Topics in magnetic resonance imaging : TMRI·2026
Same journal

Machine Learning-Based Detection of EGFR Mutation and HER2 Overexpression in Metastatic Brain Adenocarcinoma: Systematic Review and Meta-Analysis.

Topics in magnetic resonance imaging : TMRI·2025
Same journal

Oxygen Saturation, Heart Rate, and Anxiety Levels Among Claustrophobic and Non-Claustrophobic Patients Undergoing Closed and Open MRI: A Comparative Study.

Topics in magnetic resonance imaging : TMRI·2025
Same journal

Preclinical Investigations Toward Gd-free Molecularly Targeted Dual-Modal, MRI Dynamic (DCE-MRI)/Optical Imaging Contrast Agent for Cardiac Angiosarcoma.

Topics in magnetic resonance imaging : TMRI·2025
Same journal

Understanding the Independent Risk Factors of Anterior Shoulder Dislocation Using MRI.

Topics in magnetic resonance imaging : TMRI·2025
See all related articles

Parallel imaging (PI) techniques enhance functional brain imaging (fMRI) by reducing artifacts and increasing speed. This review covers PI applications, theory, and hardware for rapid, high-quality fMRI.

Area of Science:

  • Neuroimaging
  • Medical Physics
  • Biomedical Engineering

Background:

  • Parallel imaging (PI) was developed to accelerate cardiac imaging.
  • PI techniques are now used to reduce artifacts in single-shot imaging methods.
  • Functional magnetic resonance imaging (fMRI) benefits from PI for artifact reduction and speed enhancement.

Purpose of the Study:

  • To review the diverse applications of parallel imaging (PI) in functional brain imaging (fMRI).
  • To provide the fundamental theoretical background of PI techniques relevant to fMRI.
  • To discuss the hardware advancements enabling rapid, high signal-to-noise ratio PI-fMRI.

Main Methods:

  • Review of existing literature on parallel imaging applications in fMRI.
  • Explanation of the theoretical principles underlying PI in MRI.

Related Experiment Videos

  • Discussion of hardware requirements for advanced PI-fMRI.
  • Main Results:

    • PI in fMRI can reduce distortions from echo-planar imaging readouts.
    • PI contributes to diminishing gradient-related acoustic noise during fMRI scans.
    • PI enables increased acquisition speed and greater brain coverage per unit time in fMRI.

    Conclusions:

    • Parallel imaging is a versatile technique with multiple beneficial applications in fMRI.
    • Advancements in PI theory and hardware are crucial for high-performance fMRI.
    • PI facilitates faster, artifact-reduced, and more comprehensive brain imaging.