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

Divergence and Curl of Magnetic Field

Divergence and Curl of Magnetic Field

The magnetic field due to a volume current distribution given by the Biot–Savart Law can be expressed as follows:

Magnetic Resonance Imaging

Magnetic Resonance Imaging

Magnetic resonance imaging (MRI) is a noninvasive medical imaging technique based on a phenomenon of nuclear physics discovered in the 1930s, in which matter exposed to magnetic fields and radio waves was found to emit radio signals. In 1970, a physician and researcher named Raymond Damadian noticed that malignant (cancerous) tissue gave off different signals than normal body tissue. He applied for a patent for the first MRI scanning device in clinical use by the early 1980s. The early MRI...

NMR Spectrometers: Resolution and Error Correction

NMR Spectrometers: Resolution and Error Correction

When magnetic nuclei in a sample achieve resonance and undergo relaxation, the signal detected in NMR is an approximately exponential free induction decay. Fourier transform of an exponential decay yields a Lorentzian peak in the frequency domain. Lorentzian peaks in an NMR spectrum are defined by their amplitude, full width at half maximum, and position, where the peak width is governed by the spin-spin relaxation time alone. In real experiments, however, the applied magnetic field is rendered...

Plane Electromagnetic Waves II

Plane Electromagnetic Waves II

Consider a plane wavefront traveling in position x-direction with a constant speed. This wavefront can be utilized to obtain the relationship between electric and magnetic fields with the help of Faraday's law.

You might also read

Related Articles

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

Sort by

Same author

Viscoelastic profiling of rare pediatric extracranial tumors using multifrequency MR elastography: a pilot study.

Scientific reports·2026

Same author

Shimon Vega in the eyes of his students and postdocs.

Journal of magnetic resonance (San Diego, Calif. : 1997)·2022

Same author

Viscoelastic power law parameters of in vivo human brain estimated by MR elastography.

Journal of the mechanical behavior of biomedical materials·2017

Same author

The simulation of magnetic resonance elastography through atherosclerosis.

Journal of biomechanics·2016

Same author

High Resolution Imaging of Viscoelastic Properties of Intracranial Tumours by Multi-Frequency Magnetic Resonance Elastography.

Clinical neuroradiology·2014

Same author

Patient-activated three-dimensional multifrequency magnetic resonance elastography for high-resolution mechanical imaging of the liver and spleen.

RoFo : Fortschritte auf dem Gebiete der Rontgenstrahlen und der Nuklearmedizin·2013

Search research articles

Related Experiment Video

Updated: Jul 5, 2026

Viscoelastic Characterization of Soft Tissue-Mimicking Gelatin Phantoms using Indentation and Magnetic Resonance Elastography

Viscoelastic Characterization of Soft Tissue-Mimicking Gelatin Phantoms using Indentation and Magnetic Resonance Elastography

Published on: May 10, 2022

Algebraic Helmholtz inversion in planar magnetic resonance elastography.

S Papazoglou¹, U Hamhaber, J Braun

¹Department of Radiology, Charite-Universitätsmedizin, Berlin, Germany.

Physics in Medicine and Biology

|May 23, 2008

Summary

Magnetic resonance elastography (MRE) uses shear waves to diagnose disease. This study shows algebraic Helmholtz inversion (AHI) can accurately determine shear wave speed in MRE, even with variable conditions.

More Related Videos

Magnetic Resonance Elastography Methodology for the Evaluation of Tissue Engineered Construct Growth

Magnetic Resonance Elastography Methodology for the Evaluation of Tissue Engineered Construct Growth

Published on: February 9, 2012

Related Experiment Videos

Last Updated: Jul 5, 2026

Viscoelastic Characterization of Soft Tissue-Mimicking Gelatin Phantoms using Indentation and Magnetic Resonance Elastography

Viscoelastic Characterization of Soft Tissue-Mimicking Gelatin Phantoms using Indentation and Magnetic Resonance Elastography

Published on: May 10, 2022

Magnetic Resonance Elastography Methodology for the Evaluation of Tissue Engineered Construct Growth

Magnetic Resonance Elastography Methodology for the Evaluation of Tissue Engineered Construct Growth

Published on: February 9, 2012

Area of Science:

Biophysics
Medical Imaging

Background:

Magnetic resonance elastography (MRE) is a noninvasive imaging technique.
It diagnoses diseases by analyzing soft tissue response to harmonic shear waves.

Purpose of the Study:

To investigate the application of algebraic Helmholtz inversion (AHI) to planar MRE.
To assess factors influencing shear wave speed deduction in MRE.

Main Methods:

Numerical calculation of harmonic elastic waves with varying excitation directions and plate sizes.
Experimental validation using a gel phantom.
Application of AHI to planar MRE data.

Main Results:

Shear wave speed deduction is sensitive to actuator polarization, motion encoding direction, image plane, plate size, SNR, and discretization.
Accurate phase speed can be obtained using AHI with out-of-plane displacements.
Optimal actuator frequency is crucial for achieving desired pixel per wavelength resolution.

Conclusions:

AHI is a viable method for quantitative analysis in MRE.
Careful consideration of acquisition parameters and AHI implementation is necessary for reliable results.
Noise level is the primary determinant of required resolution for accurate MRE analysis.