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

A new two-dimensional phase unwrapping algorithm for MRI images.

M Hedley1, D Rosenfeld

  • 1School of Electrical Engineering, University of Sydney, New South Wales, Australia.

Magnetic Resonance in Medicine
|March 1, 1992
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

Adult resuscitation guidelines.

Emergency nurse : the journal of the RCN Accident and Emergency Nursing Association·2016
Same author

Testicular fluorine-18 fludeoxyglucose uptake on positron emission tomography CT in patients with lymphoma: clinical significance and management impact.

The British journal of radiology·2014
Same author

Health of adults living with a clinically significant haemoglobinopathy in New South Wales, Australia.

Internal medicine journal·2013
Same author

The immature reticulocyte fraction: a negative predictor of the harvesting of CD34 cells for autologous peripheral blood stem cell transplantation.

Clinical and laboratory haematology·2006
Same author

Direct comparison of 18F-fluorodeoxyglucose coincidence gamma camera tomography with gallium scanning for the staging of lymphoma.

Internal medicine journal·2005
Same author

Smoking rain clouds over the Amazon.

Science (New York, N.Y.)·2004
Same journal

A Comparison of Tissue Property Values Estimated Using Conventional Cardiac MRF and MT-Cardiac MRF.

Magnetic resonance in medicine·2026
Same journal

Dependence of the Extra-Cellular Diffusion Coefficient on the Fractions of Neurites and Cell Bodies in Gray Matter.

Magnetic resonance in medicine·2026
Same journal

Triple-Pulse <sup>23</sup>Na MRI Sequence (TriNa) for Simultaneous Acquisition of Spin-Density-Weighted and Fluid-Attenuated Images.

Magnetic resonance in medicine·2026
Same journal

Evaluation of Phantom Doping Materials in Quantitative Susceptibility Mapping.

Magnetic resonance in medicine·2026
Same journal

Design of an 8-Channel Transmit 32-Channel Receive 11.7T Head Coil and Evaluation of SNR Gains.

Magnetic resonance in medicine·2026
Same journal

The Potential for Absolute Temperature Imaging Based on Brain Metabolites Using an FID-Shifting Approach in Gradient Echo Planar Spectroscopic Imaging (GREPSI).

Magnetic resonance in medicine·2026
See all related articles

A new algorithm simplifies phase unwrapping in magnetic resonance imaging, overcoming noise and object complexity. This technique improves the accuracy of phase-based physical variable measurements from MRI scans.

Area of Science:

  • Medical Imaging
  • Image Processing
  • Physics

Background:

  • Phase information in Magnetic Resonance Imaging (MRI) is crucial for quantifying physical variables.
  • Phase data is often corrupted by noise and complex object geometries, necessitating phase unwrapping.
  • Existing phase unwrapping methods struggle with noisy and multi-object scenarios.

Purpose of the Study:

  • To introduce a novel two-dimensional phase unwrapping algorithm.
  • To address the challenges posed by noise and irregular object shapes in MRI phase data.
  • To provide simulation results validating the algorithm's performance.

Main Methods:

  • Development of a new two-dimensional phase unwrapping algorithm.
  • Utilized simulation environments to generate complex MRI phase data.

Related Experiment Videos

  • Tested the algorithm's efficacy on simulated data with varying noise levels and object configurations.

    • Main Results:

    • The presented algorithm effectively unwraps phase data in the presence of significant noise.
    • Successfully handled phase unwrapping for images containing multiple irregularly shaped objects.
    • Simulation results demonstrate the algorithm's robustness and accuracy.

    Conclusions:

    • The novel 2D phase unwrapping algorithm offers a significant improvement for MRI data processing.
    • This method enhances the reliable extraction of physical variables from noisy and complex MRI scans.
    • The algorithm shows promise for various MRI applications requiring accurate phase information.