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 Concept Videos

You might also read

Related Articles

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

Sort by
Same author

Acute Effects of Smoking and Vaping on Markers of Vascular Function via Quantitative MRI.

Journal of magnetic resonance imaging : JMRI·2026
Same author

An artificial intelligence model for prediction of hepatocellular carcinoma risk in patients with chronic hepatitis C.

Scientific reports·2026
Same author

Age dependence of brain oxygen metabolism in adults assessed by 3D constrained quantitative BOLD MRI.

NeuroImage·2026
Same author

A reference-based PET/MRI method for quantifying activation-induced changes in cerebral oxygen metabolism.

Journal of cerebral blood flow and metabolism : official journal of the International Society of Cerebral Blood Flow and Metabolism·2026
Same author

Rapid whole-brain venous cerebral blood volume mapping using velocity-selective venous-spin-labeling with 3D GRASE.

NeuroImage·2025
Same author

Neurometabolic Response to Apneic Stimuli Tracks Global Grey Matter Volume Deficits in Patients With Obstructive Sleep Apnea.

Journal of sleep research·2025

Related Experiment Video

Updated: Dec 26, 2025

Human Fetal Blood Flow Quantification with Magnetic Resonance Imaging and Motion Compensation
06:56

Human Fetal Blood Flow Quantification with Magnetic Resonance Imaging and Motion Compensation

Published on: January 7, 2021

2.7K

Self-Navigated Three-Dimensional Ultrashort Echo Time Technique for Motion-Corrected Skull MRI.

Hyunyeol Lee, Xia Zhao, Hee Kwon Song

    IEEE Transactions on Medical Imaging
    |March 10, 2020
    PubMed
    Summary

    This study introduces a motion-corrected ultrashort echo time (UTE) MRI technique for clearer skull imaging. The method effectively reduces motion artifacts, offering a radiation-free alternative to CT scans.

    More Related Videos

    High-resolution Functional Magnetic Resonance Imaging Methods for Human Midbrain
    10:06

    High-resolution Functional Magnetic Resonance Imaging Methods for Human Midbrain

    Published on: May 10, 2012

    13.3K
    Author Spotlight: Optimized Lung MRI Protocol with Computationally Efficient Reconstruction Methods
    05:07

    Author Spotlight: Optimized Lung MRI Protocol with Computationally Efficient Reconstruction Methods

    Published on: September 6, 2024

    639

    Related Experiment Videos

    Last Updated: Dec 26, 2025

    Human Fetal Blood Flow Quantification with Magnetic Resonance Imaging and Motion Compensation
    06:56

    Human Fetal Blood Flow Quantification with Magnetic Resonance Imaging and Motion Compensation

    Published on: January 7, 2021

    2.7K
    High-resolution Functional Magnetic Resonance Imaging Methods for Human Midbrain
    10:06

    High-resolution Functional Magnetic Resonance Imaging Methods for Human Midbrain

    Published on: May 10, 2012

    13.3K
    Author Spotlight: Optimized Lung MRI Protocol with Computationally Efficient Reconstruction Methods
    05:07

    Author Spotlight: Optimized Lung MRI Protocol with Computationally Efficient Reconstruction Methods

    Published on: September 6, 2024

    639

    Area of Science:

    • Medical Imaging
    • Radiology
    • Biophysics

    Background:

    • Ultrashort echo time (UTE) MRI detects short T2 relaxation signals, enabling radiation-free skull imaging as a CT alternative.
    • Long scan times in UTE MRI are susceptible to motion artifacts, limiting its clinical application.

    Purpose of the Study:

    • To develop a motion-resistant, self-navigated 3D UTE MRI sequence for improved skull imaging.
    • To implement retrospective motion correction and k-space trajectory calibration for enhanced image quality.

    Main Methods:

    • A self-navigated 3D UTE pulse sequence utilizing dual-RF, dual-echo imaging.
    • Retrospective motion correction based on self-navigator data and golden-means k-space trajectory.
    • Hardware-related k-space trajectory error correction via a calibration scan.

    Main Results:

    • Effective removal of motion artifacts in in vivo studies.
    • Clear depiction of skull bone voxels with corrected UTE MRI data.
    • Demonstrated robustness to intermittent head motions during scanning.

    Conclusions:

    • The developed self-navigated UTE MRI with motion correction provides robust, high-resolution skull imaging.
    • This technique offers a promising radiation-free alternative to CT for skull visualization.
    • Correction of k-space trajectory errors is crucial for optimal bone contrast in UTE MRI.