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

One-Compartment Open Model: Wagner-Nelson and Loo Riegelman Method for ka Estimation

One-Compartment Open Model: Wagner-Nelson and Loo Riegelman Method for k_a Estimation

This lesson introduces two critical methods in pharmacokinetics, the Wagner-Nelson and Loo-Riegelman methods, used for estimating the absorption rate constant (ka) for drugs administered via non-intravenous routes. The Wagner-Nelson method relates ka to the plasma concentration derived from the slope of a semilog percent unabsorbed time plot. However, it is limited to drugs with one-compartment kinetics and can be impacted by factors like gastrointestinal motility or enzymatic degradation.
On...

Buoyancy and Stability for Submerged and Floating Bodies

Buoyancy and Stability for Submerged and Floating Bodies

In fluid mechanics, buoyancy and stability are key concepts for understanding the behavior of submerged and floating bodies. When a stationary body is fully or partially submerged in a fluid, the fluid exerts a force on the body known as the buoyant force. This force acts vertically upward through a point called the center of buoyancy, which is the center of the displaced fluid volume. According to Archimedes' principle, the magnitude of the buoyant force is equal to the weight of the fluid...

Body Water Content and Fluid Compartments

Body Water Content and Fluid Compartments

Life's biochemical processes occur within aqueous solutions. Solutes are substances that are dissolved within these solutions. The human body contains a variety of solutes, which can differ across various body parts. These can encompass proteins—such as those responsible for clotting and carbohydrate transport—as well as electrolytes. In medicine, an electrolyte is often described as a mineral ion derived from a salt possessing an electric charge. Examples include sodium ions...

Uniform Depth Channel Flow

Uniform Depth Channel Flow

Uniform depth channel flow keeps fluid depth consistent along channels such as irrigation canals. In natural channels, such as rivers, approximate uniform flow is often assumed. This condition occurs when the channel’s bottom slope matches the energy slope, balancing potential energy lost from gravity with head loss due to shear stress. This balance prevents depth changes along the channel length, resulting in a steady, uniform flow.Uniform flow in open channels with a constant...

You might also read

Related Articles

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

Sort by

Same author

Epidemiological correlations and seasonal patterns of osteoporosis and its comorbidities: a 14-year big data analysis using search engine trends.

Frontiers in public health·2026

Same author

Applying artificial intelligence to ensure high quality and equitable lung cancer screening.

Translational lung cancer research·2026

Same author

Rb<sub>2</sub>ZnGe<sub>3</sub>Se<sub>8</sub>: A Large-Birefringence Layered Chalcogenide Enabled by Anisotropic Electrons in Tetrahedral Units.

Inorganic chemistry·2026

Same author

Fully automated free-breathing cardiac magnetic resonance imaging at 3T: A prospective randomized study of image quality, efficiency, and workflow burden.

Journal of cardiovascular magnetic resonance : official journal of the Society for Cardiovascular Magnetic Resonance·2026

Same author

RCodSpace: A Robust Learned Coding Method for Deep Space Visual Transmission.

IEEE transactions on image processing : a publication of the IEEE Signal Processing Society·2026

Same author

Impact of formalin fixation on biventricular parameters in cardiac diffusion tensor imaging: A pilot study in a miniature swine model.

The international journal of cardiovascular imaging·2026

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

Search research articles

Related Experiment Video

Updated: May 2, 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

Fat water decomposition using globally optimal surface estimation (GOOSE) algorithm.

Chen Cui¹, Xiaodong Wu, John D Newell

¹Department of Electrical and Computer Engineering, The University of Iowa, Iowa City, Iowa, USA.

Magnetic Resonance in Medicine

|March 8, 2014

Summary

This summary is machine-generated.

A new noniterative algorithm improves fat water decomposition, significantly reducing fat water swaps and ambiguities in challenging magnetic resonance imaging applications. This method enhances quantitative accuracy and robustness.

Keywords:

fat water decomposition graph cut minimum-cost closed set noniterative optimal surface

More Related Videos

Preparation of Free-Surface Hyperbolic Water Vortices

Preparation of Free-Surface Hyperbolic Water Vortices

Published on: July 28, 2023

Spatial Multiobjective Optimization of Agricultural Conservation Practices using a SWAT Model and an Evolutionary Algorithm

Spatial Multiobjective Optimization of Agricultural Conservation Practices using a SWAT Model and an Evolutionary Algorithm

Published on: December 9, 2012

Related Experiment Videos

Last Updated: May 2, 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

Preparation of Free-Surface Hyperbolic Water Vortices

Preparation of Free-Surface Hyperbolic Water Vortices

Published on: July 28, 2023

Spatial Multiobjective Optimization of Agricultural Conservation Practices using a SWAT Model and an Evolutionary Algorithm

Spatial Multiobjective Optimization of Agricultural Conservation Practices using a SWAT Model and an Evolutionary Algorithm

Published on: December 9, 2012

Area of Science:

Medical Imaging
Biomedical Engineering
Computational Science

Background:

Fat water decomposition is crucial for quantitative magnetic resonance imaging (MRI).
Existing methods often suffer from fat water swaps and ambiguities, limiting their accuracy.
Robust fat water decomposition is essential for reliable tissue characterization.

Purpose of the Study:

To develop a novel noniterative algorithm for fat water decomposition.
To enhance robustness against fat water swaps and estimation ambiguities.
To improve the accuracy and reliability of fat water decomposition in MRI.

Main Methods:

Reformulated field map estimation as a constrained surface estimation problem.
Exploited spatial smoothness of the field map using finite range constraints on voxel frequency shifts.
Developed an efficient, noniterative graph cut algorithm to find the global minimum of the optimization problem.

Main Results:

The proposed algorithm demonstrated superior robustness in fat water estimation compared to state-of-the-art methods.
Significantly fewer fat water swaps and improved quantitative results were observed in challenging applications.
The algorithm achieved better performance on reference data.

Conclusions:

The novel algorithm effectively reduces fat water swaps in difficult decomposition scenarios.
Explicit smoothness constraints in field map estimation are beneficial.
Globally convergent graph-cut optimization provides a reliable solution for fat water decomposition.