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 Video

Updated: Sep 21, 2025

Phase Contrast Magnetic Resonance Imaging in the Rat Common Carotid Artery
07:02

Phase Contrast Magnetic Resonance Imaging in the Rat Common Carotid Artery

Published on: September 5, 2018

9.6K

MAXIMIZING UNAMBIGUOUS VELOCITY RANGE IN PHASE-CONTRAST MRI WITH MULTIPOINT ENCODING.

Shen Zhao1, Rizwan Ahmad1,2, Lee C Potter1

  • 1The Ohio State University, Department of Electrical and Computer Engineering.

Proceedings. IEEE International Symposium on Biomedical Imaging
|June 1, 2022
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

Feasibility of real-time in-magnet exercise cardiovascular MRI with an individualized exercise protocol: Quantitative assessment at low, intermediate, and high exercise intensities.

Journal of cardiovascular magnetic resonance : official journal of the Society for Cardiovascular Magnetic Resonance·2026
Same author

Deep learning-driven inversion framework for shear modulus estimation in magnetic resonance elastography.

Magma (New York, N.Y.)·2026
Same author

Machine Learning Enhanced Quantum-Safe Encryption: A Novel Optimisation Framework.

Sensors (Basel, Switzerland)·2026
Same author

Green extraction and phenolic profiling of bitter melon (<i>Momordica charantia</i>) using UHPLC-DAD analysis: unveiling its antidiabetic and anticancer potential.

Frontiers in nutrition·2026
Same author

EMORe: Motion-Robust 5D MRI Reconstruction via Expectation-Maximization-Guided Binning Correction and Outlier Rejection.

IEEE transactions on medical imaging·2026
Same author

Enzymes-assisted green ultrasonic extraction with UPLC-DAD quantification of phenolic compounds in chia seeds with a comparative evaluation based on geographical origins.

Ultrasonics sonochemistry·2026

Phase-contrast MRI (PC-MRI) uses phase encoding for velocity measurement. We show jointly processing all phase differences maximizes velocity-to-noise ratio and unaliased velocity range, defining it as a parallelepiped.

Area of Science:

  • Medical Imaging
  • Biophysics
  • Magnetic Resonance Imaging

Background:

  • Phase-contrast MRI (PC-MRI) encodes spin velocity in image phase.
  • Velocity encoding gradient strength involves a trade-off between velocity-to-noise ratio (VNR) and phase aliasing.
  • Current methods often simplify phase difference equations, limiting VNR or velocity range.

Purpose of the Study:

  • To demonstrate that jointly processing all phase differences in PC-MRI maximizes the unambiguous velocity range and VNR.
  • To define the shape of the fullest unambiguous velocity range.
  • To explore potential applications of this understanding for novel multi-point acquisitions.

Main Methods:

  • Analysis of phase difference equations in PC-MRI.
  • Mathematical definition of the unambiguous velocity range as a parallelepiped.
Keywords:
Phase-contrast imagingmultivariate congruence equationsphase unwrapping

More Related Videos

Magnetic Resonance Imaging of Multiple Sclerosis at 7.0 Tesla
08:51

Magnetic Resonance Imaging of Multiple Sclerosis at 7.0 Tesla

Published on: February 19, 2021

9.2K
Quantitative Magnetic Resonance Imaging of Skeletal Muscle Disease
09:30

Quantitative Magnetic Resonance Imaging of Skeletal Muscle Disease

Published on: December 18, 2016

19.7K

Related Experiment Videos

Last Updated: Sep 21, 2025

Phase Contrast Magnetic Resonance Imaging in the Rat Common Carotid Artery
07:02

Phase Contrast Magnetic Resonance Imaging in the Rat Common Carotid Artery

Published on: September 5, 2018

9.6K
Magnetic Resonance Imaging of Multiple Sclerosis at 7.0 Tesla
08:51

Magnetic Resonance Imaging of Multiple Sclerosis at 7.0 Tesla

Published on: February 19, 2021

9.2K
Quantitative Magnetic Resonance Imaging of Skeletal Muscle Disease
09:30

Quantitative Magnetic Resonance Imaging of Skeletal Muscle Disease

Published on: December 18, 2016

19.7K
  • Demonstration of joint processing of all phase differences.

    • Main Results:

    • The fullest unambiguous range of velocities in PC-MRI is a parallelepiped.
    • Jointly processing all phase differences maximizes both VNR and the unaliased velocity range.
    • This approach offers potential for enhanced analysis of multi-point acquisitions.

    Conclusions:

    • Joint processing of all phase differences is optimal for PC-MRI velocity quantification.
    • The parallelepiped model provides a new framework for understanding velocity limits.
    • This work enables the development of advanced PC-MRI techniques for broader applications.