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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...

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Updated: Mar 12, 2026

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

K-space data processing for magnetic resonance elastography (MRE).

Nadège Corbin¹, Elodie Breton¹, Michel de Mathelin¹

¹ICube, University of Strasbourg, CNRS, IHU Strasbourg, ICUBE sc IRCAD,1 place de l'hôpital, 67091, Strasbourg Cedex, France.

Magma (New York, N.Y.)

|November 9, 2016

Summary

This summary is machine-generated.

A novel Magnetic Resonance Elastography (MRE) method reconstructs elastograms directly from raw MR data, reducing processing steps and enabling faster measurements for tissue elasticity assessment.

Keywords:

Elasticity imaging techniques Interventional Magnetic resonance imaging Radiology

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Area of Science:

Medical Imaging
Biophysics
Biomechanical Engineering

Background:

Magnetic Resonance Elastography (MRE) involves complex data processing, including phase reconstruction and inverse problem solving.
Current MRE methods can be time-consuming, limiting applications requiring rapid measurements or high update rates.

Purpose of the Study:

To introduce a new, fast MRE technique that processes MR raw data directly.
To enable faster MRE measurements and higher elastogram update rates.

Main Methods:

Developed a method to measure tissue elasticity directly from raw MR data, bypassing phase image reconstruction and unwrapping.
Validated the technique in a gelatin phantom and a porcine liver model in vivo.
Monitored real-time elasticity changes during phantom solidification.

Main Results:

The raw MRE method yielded elasticity values comparable to conventional MRE.
Significantly reduced the number of processing steps and eliminated the need for phase unwrapping.
Identified limitations including magnitude influence and the need for sufficient phase offsets.

Conclusions:

Demonstrated the feasibility of reconstructing elastograms directly from raw MR data.
The proposed method offers a faster alternative for MRE applications.