Search research articles

ABOUT JoVE

Overview Leadership Blog JoVE Help Center

AUTHORS

Publishing Process Editorial Board Scope & Policies Peer Review FAQ Submit

LIBRARIANS

Testimonials Subscriptions Access Resources Library Advisory Board FAQ

RESEARCH

JoVE Journal Methods Collections JoVE Encyclopedia of Experiments Archive

EDUCATION

JoVE Core JoVE Business JoVE Science Education JoVE Lab Manual Faculty Resource Center Faculty Site

Terms & Conditions of Use

Related Concept Videos

Capillary Electrophoresis: Applications

Capillary Electrophoresis: Applications

Capillary electrophoretic separations offer various modes, each with unique applications. These modes include capillary zone electrophoresis, capillary gel electrophoresis, capillary array electrophoresis, capillary isoelectric focusing, capillary isotachophoresis, micellar electrokinetic chromatography, and capillary electrochromatography.
Capillary zone electrophoresis (CZE) separates ionic components based on their electrophoretic mobility. It has been used to separate proteins, amino acids,...

Size-Exclusion Chromatography

Size-Exclusion Chromatography

In size-exclusion chromatography (SEC), also known as molecular-exclusion or gel-permeation chromatography, molecules are separated based on their sizes. This technique is important for separating large molecules such as polymers and biomolecules. The two classes of micron-sized stationary phases encountered in SEC are silica particles and cross-linked polymer resin beads. Both materials are porous, but their pore sizes vary significantly.
Silica particles offer advantages such as rigidity,...

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by

Same author

Free-Breathing Fat Quantification Using a Phase Error-Corrected Cartesian Acquisition With Spiral Profile Ordering.

Magnetic resonance in medicine·2026

Same author

Time-Conditioned Zero-Shot Self-Supervised Reconstruction for Accelerated 3D Ultra-Low-Field MRI.

Magnetic resonance in medicine·2026

Same author

Navigator-free multi-shot diffusion MRI via non-local low-rank reconstruction.

Magnetic resonance in medicine·2025

Same author

Referenceless 4D flow MRI using radial balanced SSFP at 0.6 T.

Magnetic resonance in medicine·2025

Same author

Rapid quantitative MRI at 46 mT: Accelerated T<sub>1</sub> and T<sub>2</sub> mapping with low-rank reconstructions.

Magnetic resonance in medicine·2025

Same author

Denoising low-field MR images with a deep learning algorithm based on simulated data from easily accessible open-source software.

Journal of magnetic resonance (San Diego, Calif. : 1997)·2024

Same journal

Structural MRI Volumetry Index for Differentiation of Progressive Supranuclear Palsy From Parkinson's Disease and Multiple System Atrophy by Automatic Segmentation: A Comparison With Magnetic Resonance Parkinsonism Index.

Journal of magnetic resonance imaging : JMRI·2026

Same journal

Integrating nnU-Net Segmentation and Clinical-Radiomics for Multicenter MRI-Based Assessment of Soft Tissue Sarcoma Grade and Ki-67 Expression.

Journal of magnetic resonance imaging : JMRI·2026

Same journal

Optimization of Respiratory Training Methods for Cardiac Magnetic Resonance Imaging.

Journal of magnetic resonance imaging : JMRI·2026

Same journal

Editorial for "Voxel-Wise Radiomics Habitat Analysis of Post-Treatment Gliomas for Noninvasive Differentiation of True Progression and Pseudoprogression".

Journal of magnetic resonance imaging : JMRI·2026

Same journal

Multiparametric Quantitative MRI of Peripheral Nerves to Differentiate Demyelinating From Axonal Polyneuropathies.

Journal of magnetic resonance imaging : JMRI·2026

Same journal

Mapping Fatty Acid Composition in the Human Knee: Short-Term Repeatability at 3T.

Journal of magnetic resonance imaging : JMRI·2026

See all related articles

Search research articles

Related Experiment Video

Updated: May 3, 2026

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

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

Published on: September 7, 2018

Chemical shift encoding-based water-fat separation methods.

Holger Eggers¹, Peter Börnert

¹Philips Research, Hamburg, Germany.

Journal of Magnetic Resonance Imaging : JMRI

|January 22, 2014

Summary

This summary is machine-generated.

Dixon methods enable retrospective separation of water and fat signals in magnetic resonance imaging after data acquisition. This approach overcomes limitations of traditional fat suppression techniques, offering broader applications.

Keywords:

Dixon methods chemical shift encoding fat suppression water-fat separation

More Related Videos

A Simple Method for Automated Solid Phase Extraction of Water Samples for Immunological Analysis of Small Pollutants

A Simple Method for Automated Solid Phase Extraction of Water Samples for Immunological Analysis of Small Pollutants

Published on: January 1, 2016

A Modified EPA Method 1623 that Uses Tangential Flow Hollow-fiber Ultrafiltration and Heat Dissociation Steps to Detect Waterborne Cryptosporidium and Giardia spp.

A Modified EPA Method 1623 that Uses Tangential Flow Hollow-fiber Ultrafiltration and Heat Dissociation Steps to Detect Waterborne Cryptosporidium and Giardia spp.

Published on: July 9, 2012

Related Experiment Videos

Last Updated: May 3, 2026

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

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

Published on: September 7, 2018

A Simple Method for Automated Solid Phase Extraction of Water Samples for Immunological Analysis of Small Pollutants

A Simple Method for Automated Solid Phase Extraction of Water Samples for Immunological Analysis of Small Pollutants

Published on: January 1, 2016

A Modified EPA Method 1623 that Uses Tangential Flow Hollow-fiber Ultrafiltration and Heat Dissociation Steps to Detect Waterborne Cryptosporidium and Giardia spp.

A Modified EPA Method 1623 that Uses Tangential Flow Hollow-fiber Ultrafiltration and Heat Dissociation Steps to Detect Waterborne Cryptosporidium and Giardia spp.

Published on: July 9, 2012

Area of Science:

Medical Imaging
Biophysics
Radiology

Background:

Fat signal suppression is crucial for many MRI applications.
Current methods (fat saturation, inversion recovery, water excitation) are applied during data acquisition.
These methods can fail with field inhomogeneities or contrast agents.

Purpose of the Study:

To review retrospective water-fat separation methods based on chemical shift differences.
To introduce the principles and implementations of Dixon methods.
To discuss practical aspects and applications of Dixon methods.

Main Methods:

Review of retrospective water-fat separation techniques.
Explanation of chemical shift encoding for water and fat signal differentiation.
Description of reconstruction algorithms for signal separation.

Main Results:

Dixon methods allow water-fat separation post-acquisition, overcoming limitations of in-acquisition methods.
Demonstration of applications in abdominal, cardiovascular, and musculoskeletal MRI.
Illustration of practical considerations, parameter selection, and artifact management.

Conclusions:

Dixon methods offer a robust alternative for water-fat separation in MRI.
These methods provide valuable information on fat quantity and distribution.
Emerging opportunities exist for advanced applications leveraging fat composition data.