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

Phantom-based residual error correction using individualized system estimates (PRECISE) -pushing the boundaries of geometric fidelity in MRI.

Physics in medicine and biology·2026
Same author

Age-Related Changes in the Amygdala From In Utero to Early Childhood: Association With Social and Cognitive Outcomes.

Human brain mapping·2025
Same author

Characterization and inter-scanner reproducibility of geometric distortion on a small footprint, high-performance, head-specific 0.5 T scanner.

Medical physics·2025
Same author

EPI proton resonant frequency temperature mapping at 0.5T in the brain: Comparison to single-echo gradient recalled echo.

Magnetic resonance in medicine·2024
Same author

Quantifying Brain Myelin Water Fraction in a Guinea Pig Model of Spontaneous Intrauterine Growth Restriction.

Journal of magnetic resonance imaging : JMRI·2024
Same author

T2* Mapping of Placental Oxygenation to Estimate Fetal Cortical and Subcortical Maturation.

JAMA network open·2024
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

Related Experiment Video

Updated: Apr 9, 2026

Human Brown Adipose Tissue Depots Automatically Segmented by Positron Emission Tomography/Computed Tomography and Registered Magnetic Resonance Images
09:21

Human Brown Adipose Tissue Depots Automatically Segmented by Positron Emission Tomography/Computed Tomography and Registered Magnetic Resonance Images

Published on: February 18, 2015

12.7K

Fat quantification using an interleaved bipolar acquisition.

Abraam S Soliman1,2, Curtis N Wiens3, Trevor P Wade2,4

  • 1Biomedical Engineering, Western University, London, Canada.

Magnetic Resonance in Medicine
|June 23, 2015
PubMed
Summary
This summary is machine-generated.

This study introduces a new interleaved bipolar magnetic resonance imaging (MRI) sequence for accurate fat quantification. This efficient technique provides precise fat fraction measurements in less time than standard methods.

Keywords:
IDEAL imagingbipolar acquisitionchemical-shift imagingfat quantification

More Related Videos

Whole Body and Regional Quantification of Active Human Brown Adipose Tissue Using 18F-FDG PET/CT
10:30

Whole Body and Regional Quantification of Active Human Brown Adipose Tissue Using 18F-FDG PET/CT

Published on: April 1, 2019

9.6K
Fat-Water Phantoms for Magnetic Resonance Imaging Validation: A Flexible and Scalable Protocol
07:59

Fat-Water Phantoms for Magnetic Resonance Imaging Validation: A Flexible and Scalable Protocol

Published on: September 7, 2018

12.3K

Related Experiment Videos

Last Updated: Apr 9, 2026

Human Brown Adipose Tissue Depots Automatically Segmented by Positron Emission Tomography/Computed Tomography and Registered Magnetic Resonance Images
09:21

Human Brown Adipose Tissue Depots Automatically Segmented by Positron Emission Tomography/Computed Tomography and Registered Magnetic Resonance Images

Published on: February 18, 2015

12.7K
Whole Body and Regional Quantification of Active Human Brown Adipose Tissue Using 18F-FDG PET/CT
10:30

Whole Body and Regional Quantification of Active Human Brown Adipose Tissue Using 18F-FDG PET/CT

Published on: April 1, 2019

9.6K
Fat-Water Phantoms for Magnetic Resonance Imaging Validation: A Flexible and Scalable Protocol
07:59

Fat-Water Phantoms for Magnetic Resonance Imaging Validation: A Flexible and Scalable Protocol

Published on: September 7, 2018

12.3K

Area of Science:

  • Magnetic Resonance Imaging (MRI)
  • Medical Physics
  • Quantitative Imaging

Background:

  • Accurate fat quantification is crucial in various medical applications.
  • Conventional unipolar sequences for fat quantification can be time-consuming and prone to artifacts.

Purpose of the Study:

  • To present and validate a novel multigradient echo bipolar acquisition sequence.
  • To assess its efficacy for precise fat quantification.

Main Methods:

  • Utilized a multiecho bipolar acquisition with alternating gradient polarities.
  • Employed parallel imaging reconstruction to generate complete k-space maps.
  • Applied complex averaging to correct phase errors and enable water/fat separation.

Main Results:

  • Demonstrated accurate fat fraction measurements in phantom and in vivo experiments.
  • Showcased increased signal-to-noise ratio efficiency compared to unipolar sequences.
  • Eliminated artifacts associated with bipolar acquisition phase and magnitude errors.

Conclusions:

  • The interleaved bipolar sequence is an efficient method for fat quantification.
  • Achieved accurate fat measurements with reduced scan times.
  • Offers an improved alternative to standard unipolar sequences for quantitative MRI.