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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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Related Experiment Video

Updated: May 12, 2025

Construction of a Preclinical Multimodality Phantom Using Tissue-mimicking Materials for Quality Assurance in Tumor Size Measurement

Construction of a Preclinical Multimodality Phantom Using Tissue-mimicking Materials for Quality Assurance in Tumor Size Measurement

Published on: July 29, 2013

Multi-center and multi-vendor evaluation study across 1.5 T and 3 T scanners (part 1): apparent diffusion coefficient

Siria Pasini¹, Steffen Ringgaard², Tau Vendelboe²

¹Bioengineering Department, Istituto di Ricerche Farmacologiche Mario Negri IRCCS, Via Camozzi 3, 24020, Ranica, BG, Italy.

Magma (New York, N.Y.)

|May 9, 2025

Summary

Diffusion MRI scanner performance was validated using a phantom. Measurements showed high accuracy and repeatability, supporting scanner evaluation for renal studies.

Keywords:

Apparent diffusion coefficient MRI Multi-site Phantom Standardization

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Last Updated: May 12, 2025

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Area of Science:

Magnetic Resonance Imaging
Diffusion MRI
Quantitative Imaging

Background:

Diffusion MRI enables quantitative measurements of tissue microstructure.
Standardization is crucial for multi-site and multi-vendor diffusion MRI studies.
The QIBA/NIST phantom provides a reliable tool for validating MRI measurements.

Purpose of the Study:

To validate multi-site and multi-vendor apparent diffusion coefficient (ADC) measurements.
To assess the accuracy, repeatability, and reproducibility of ADC measurements using the QIBA/NIST phantom.
To evaluate scanner performance at different field strengths (1.5T and 3T) and from various vendors.

Main Methods:

ADC measurements were performed on 12 MRI scanners from three vendors across five sites.
Pearson's correlation and accuracy error were used to compare measurements with reference values.
Intra-scanner (CV_intra) and inter-scanner (CV_inter) coefficients of variation were calculated for repeatability and agreement.
Bland-Altman plots and precision error assessed short-term reproducibility.
Generalized linear mixed models were employed to compare performance across field strengths, vendors, and scanners.

Main Results:

Temperature-adjusted ADCs showed excellent correlation with NIST reference values (r > 0.996).
Median accuracy error was below 5% across all scanners.
In the renal physiologic range, accuracy error was <10% and intra-scanner CV was <2%.
Short-term reproducibility demonstrated limits of agreement <10%, with median inter-scanner CV <2%.

Conclusions:

Quantitative diffusion MRI parameters obtained using the QIBA/NIST phantom are accurate, repeatable, and precise.
The findings support the feasibility of using the QIBA standardization process for diffusion MRI scanner evaluation in renal studies.
Room temperature measurements with abdominal receive coils yield results consistent with literature values.