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

Magnetically Compatible and Fiberless fNIRS Enables Simultaneous Multimodal Imaging with Optically Pumped Magnetometer MEG.

NeuroImage·2026
Same author

Laminar fMRI using magnetization transfer contrast at 7 T.

NeuroImage·2026
Same author

Empirical validation of race-neutral normative brain morphometry models across ethnoracially diverse populations.

Proceedings of the National Academy of Sciences of the United States of America·2026
Same author

Three parsimonious spatiotemporal patterns in cerebellum reveal individual traits in function and behavior.

Nature communications·2026
Same author

Neanderthal brain and cognition reconsidered.

Proceedings of the National Academy of Sciences of the United States of America·2026
Same author

EEG microstates during wake and NREM sleep in insomnia disorder.

Progress in neuro-psychopharmacology & biological psychiatry·2026

Related Experiment Video

Updated: May 19, 2026

Three-Dimensional Phase Resolved Functional Lung Magnetic Resonance Imaging
10:44

Three-Dimensional Phase Resolved Functional Lung Magnetic Resonance Imaging

Published on: June 21, 2024

3D phase unwrapping using global expected phase as a reference: application to MRI global shimming.

Wentao Liu1, Xin Tang, Yajun Ma

  • 1Beijing City Key Laboratory for Medical Physics and Engineering, School of Physics, Peking University, Beijing, China.

Magnetic Resonance in Medicine
|August 14, 2012
PubMed
Summary

This study introduces a novel 3D MRI phase unwrapping method using global phase distribution and continuous functions. It reliably corrects phase wrapping, especially in challenging low-signal areas like the abdomen.

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

An Experimental Protocol for Assessing the Performance of New Ultrasound Probes Based on CMUT Technology in Application to Brain Imaging
16:01

An Experimental Protocol for Assessing the Performance of New Ultrasound Probes Based on CMUT Technology in Application to Brain Imaging

Published on: September 24, 2017

Related Experiment Videos

Last Updated: May 19, 2026

Three-Dimensional Phase Resolved Functional Lung Magnetic Resonance Imaging
10:44

Three-Dimensional Phase Resolved Functional Lung Magnetic Resonance Imaging

Published on: June 21, 2024

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

An Experimental Protocol for Assessing the Performance of New Ultrasound Probes Based on CMUT Technology in Application to Brain Imaging
16:01

An Experimental Protocol for Assessing the Performance of New Ultrasound Probes Based on CMUT Technology in Application to Brain Imaging

Published on: September 24, 2017

Area of Science:

  • Medical Imaging
  • Magnetic Resonance Imaging (MRI)
  • Image Processing

Background:

  • MRI phase data frequently exhibits phase wrapping, causing discontinuities.
  • Existing phase unwrapping methods rely on local voxel information.
  • Phase wrapping poses challenges in low-signal regions and air cavities.

Purpose of the Study:

  • To introduce a novel, robust 3D MRI phase unwrapping strategy.
  • To address limitations of traditional local-based phase unwrapping algorithms.
  • To improve phase map accuracy in challenging anatomical areas.

Main Methods:

  • Developed a 3D phase unwrapping strategy utilizing global phase distribution.
  • Employed continuous trigonometric functions to create an expected phase map reference.
  • Guided voxel-wise phase correction using the generated reference map.
  • Estimated original phase by analyzing the derivative of the wrapped phase image.

Main Results:

  • Simulations demonstrated the method's effectiveness in various phase-wrapped scenarios.
  • In vivo application for MRI automatic global shimming showed promising results.
  • The proposed method proved more reliable and robust than traditional algorithms.
  • Successfully obtained accurate phase maps in low-signal regions and air cavities (e.g., abdomen, pelvis).

Conclusions:

  • The novel 3D phase unwrapping method offers superior reliability and robustness.
  • This technique effectively handles phase wrapping in challenging MRI data.
  • The approach has significant implications for improving MRI image quality and applications like shimming.