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

Motion-compensated implicit neural modeling for 3D multiparametric quantitative MRI.

Medical image analysis·2026
Same author

Myelin-driven structural network redundancy underlies cognition in cerebral small vessel disease.

Alzheimer's research & therapy·2026
Same author

Sub-voxel QSM reveals the mechanism linking substantia nigra iron and temporal diamagnetism to PD gait.

NPJ Parkinson's disease·2026
Same author

Integrated Multi-Omics Analysis of Coagulation Dysregulation and Immune Pathway Alterations in 10-Gene Pig-to-Monkey Liver Xenotransplantation: A Case Report.

Xenotransplantation·2026
Same author

Cortical folding and thickness characteristics of gray matter in fetuses with non-severe ventriculomegaly.

BMC pediatrics·2026
Same author

Integrative Advances in Pig Genomics: From Reference Assemblies and Evolutionary History to the Mechanistic Dissection of Key Traits.

Biology·2026

Related Experiment Video

Updated: Jul 31, 2025

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

9.1K

APART-QSM: An improved sub-voxel quantitative susceptibility mapping for susceptibility source separation using an

Zhenghao Li1, Ruimin Feng1, Qiangqiang Liu2

  • 1School of Biomedical Engineering, Shanghai Jiao Tong University, Shanghai, China.

Neuroimage
|May 1, 2023
PubMed
Summary

This study introduces a new MRI method to separate opposing magnetic signals in the brain, enabling better quantification of iron and myelin. This advance improves understanding of brain development and neurodegenerative diseases.

Keywords:
DiamagneticParamagneticQSM – quantitative susceptibility mappingSusceptibility source separation

More Related Videos

Quantitative Mapping of Specific Ventilation in the Human Lung using Proton Magnetic Resonance Imaging and Oxygen as a Contrast Agent
08:26

Quantitative Mapping of Specific Ventilation in the Human Lung using Proton Magnetic Resonance Imaging and Oxygen as a Contrast Agent

Published on: June 5, 2019

6.5K
Quantitative Magnetic Resonance Imaging of Skeletal Muscle Disease
09:30

Quantitative Magnetic Resonance Imaging of Skeletal Muscle Disease

Published on: December 18, 2016

19.6K

Related Experiment Videos

Last Updated: Jul 31, 2025

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

9.1K
Quantitative Mapping of Specific Ventilation in the Human Lung using Proton Magnetic Resonance Imaging and Oxygen as a Contrast Agent
08:26

Quantitative Mapping of Specific Ventilation in the Human Lung using Proton Magnetic Resonance Imaging and Oxygen as a Contrast Agent

Published on: June 5, 2019

6.5K
Quantitative Magnetic Resonance Imaging of Skeletal Muscle Disease
09:30

Quantitative Magnetic Resonance Imaging of Skeletal Muscle Disease

Published on: December 18, 2016

19.6K

Area of Science:

  • Biophysics
  • Neuroimaging
  • Medical Physics

Background:

  • Brain tissue phase contrast in MRI reflects multiple substances like iron and myelin.
  • These substances have opposing magnetic susceptibilities that are crucial in brain development and disease.
  • Conventional Quantitative Susceptibility Mapping (QSM) methods cannot separate these opposing intravoxel susceptibilities.

Purpose of the Study:

  • To develop an advanced QSM method capable of disentangling intravoxel paramagnetic and diamagnetic susceptibility contributions.
  • To propose a comprehensive complex signal model for improved susceptibility mapping.
  • To enhance the accuracy of quantifying brain iron and myelin.

Main Methods:

  • A novel complex signal model relating 3D GRE signal to susceptibility contributions was developed.
  • The algorithm uses constrained minimization to iteratively determine voxel-wise magnitude decay kernel and sub-voxel susceptibilities.
  • Phantom, ex vivo macaque, and in vivo human brain studies were performed for validation.

Main Results:

  • The proposed method accurately models the relationship between R2' relaxation and volume susceptibility, preventing error propagation.
  • It demonstrates state-of-the-art performance in quantifying brain iron and myelin compared to existing QSM separation techniques.
  • Multi-orientation data input yielded high-quality QSM separation maps with improved brain structure delineation.

Conclusions:

  • The developed method effectively separates opposing magnetic susceptibilities in brain tissue.
  • It holds significant potential for simultaneous quantification of brain iron and myelin across the lifespan.
  • This technique offers more faithful tissue delineation in neuroimaging studies.