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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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Co-analysis of Brain Structure and Function using fMRI and Diffusion-weighted Imaging

Co-analysis of Brain Structure and Function using fMRI and Diffusion-weighted Imaging

Published on: November 8, 2012

High-frequency longitudinal white matter diffusion- and myelin-based MRI database: Reliability and variability.

Manon Edde^1,2, Guillaume Theaud², Matthieu Dumont²

¹Sherbrooke Connectivity Imaging Lab (SCIL), Université de Sherbrooke, Sherbrooke, QC, Canada.

Human Brain Mapping

|April 17, 2023

Summary

Quantitative MRI measures show moderate to high reliability for assessing white matter in healthy adults. These findings support using diffusion and myelin MRI for reliable biomarkers in clinical trials and patient-specific treatments.

Keywords:

MRI diffusion healthy subject myelin reliability variability white matter

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Published on: September 12, 2011

Area of Science:

Neuroimaging
Biomarkers
White Matter Integrity

Background:

Consistency of quantitative MRI is crucial for longitudinal studies and clinical trials.
Diffusion and myelin-based MRI measures require robust evaluation for clinical application.

Purpose of the Study:

To assess the consistency of diffusion- and myelin-based MRI measures.
To evaluate reliability across whole bundles and track-profiles.
To determine the impact of fiber populations on measurement consistency.

Main Methods:

Collected multi-shell diffusion and inhomogeneous magnetization transfer data from 20 healthy adults across five MRI sessions.
Utilized intraclass coefficient correlation and coefficient of variation for consistency evaluation.
Analyzed consistency across whole bundles, track-profiles, and fiber populations using orientation maps.

Main Results:

Observed moderate to high reliability for both diffusion and myelin measures across whole and profile bundles.
Demonstrated higher reliability for measures involving multiple fiber populations compared to single fiber populations.
Identified consistent MRI measurements and bundles across various techniques.

Conclusions:

Quantitative MRI measures exhibit reliable consistency, suitable for longitudinal studies.
Reliable diffusion and myelin measures can serve as biomarkers for detecting and monitoring white matter changes.
Findings can inform patient-specific treatment strategies and advance clinical applications of MRI.