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

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Published on: February 9, 2012

Magnetic resonance elastography: evaluation of new inversion algorithm and quantitative analysis method.

Annelise M Silva¹, Roger C Grimm, Kevin J Glaser

¹Barrett, The Honors College, Arizona State University, Tempe, AZ, USA.

Abdominal Imaging

|March 7, 2015

Summary

This summary is machine-generated.

Magnetic resonance elastography (MRE) hepatic stiffness measurements are consistent across different region of interest (ROI) techniques. A new confidence mask improves MRE reliability for assessing chronic liver disease.

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Area of Science:

Medical Imaging
Hepatology
Biophysics

Background:

Magnetic resonance elastography (MRE) is a non-invasive imaging technique used to assess liver stiffness.
Accurate hepatic stiffness measurements are crucial for diagnosing and monitoring chronic liver disease.
Current MRE analysis involves region of interest (ROI) selection and inversion algorithms, which can influence results.

Purpose of the Study:

To evaluate hepatic stiffness calculations using different ROI techniques and a novel inversion algorithm.
To assess the impact of a confidence threshold mask on MRE measurements.
To compare a new inversion algorithm (MMDI) with the current standard (MSDI).

Main Methods:

Seventy-three patients underwent liver biopsy and MRE.
MRE data were processed using the multiscale direct inversion (MSDI) algorithm with single and triple ROI methods.
Data were reprocessed with the multimodel direct inversion (MMDI) algorithm, employing a single 70% ROI with and without a 95% confidence mask.

Main Results:

No statistically significant difference was found between single and triple ROI methods for MSDI.
Average stiffness measurements between MSDI and MMDI showed minimal difference (0.32 kPa, 9%) when using a confidence mask, with good agreement (ICC=0.986).
The confidence mask demonstrated excellent consistency (ICC=0.995) and reduced variance compared to freehand techniques.

Conclusions:

MRE analysis revealed no significant difference between the two freehand ROI techniques.
Stiffness measurements from MSDI and MMDI algorithms were comparable, with a 9% average variance.
Implementing a confidence mask enhances MRE's reliability for assessing therapy response and chronic liver disease progression.