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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: Jun 12, 2025

Magnetic Resonance Imaging of Multiple Sclerosis at 7.0 Tesla

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MRI pattern recognition in white matter disease.

Nicole I Wolf¹, Marc Engelen¹, Marjo S van der Knaap²

¹Department of Child Neurology, Amsterdam Leukodystrophy Center, Emma Children's Hospital, Amsterdam UMC, Amsterdam, The Netherlands; Amsterdam Neuroscience, Cellular & Molecular Mechanisms, Vrije Universiteit, Amsterdam, The Netherlands.

Handbook of Clinical Neurology

|September 25, 2024

Summary

This summary is machine-generated.

Magnetic resonance imaging (MRI) pattern recognition aids in diagnosing white matter disorders by analyzing abnormality distribution. This technique is crucial for staging diseases like multiple sclerosis and monitoring treatment effectiveness.

Keywords:

Brain Genetic Leukodystrophy MRI Myelin Spinal cord White matter

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Last Updated: Jun 12, 2025

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Area of Science:

Neuroimaging
Neurology
Radiology

Background:

Magnetic resonance imaging (MRI) pattern recognition is vital for diagnosing white matter disorders.
Understanding normal brain development is key to interpreting pediatric white matter changes.
MRI aids in staging leukodystrophies and acquired conditions like multiple sclerosis.

Purpose of the Study:

To highlight the diagnostic utility of MRI pattern recognition in white matter disorders.
To emphasize the role of MRI in disease staging and treatment monitoring.
To underscore the importance of normal brain development knowledge for pediatric MRI interpretation.

Main Methods:

Analysis of MRI patterns in genetic and acquired white matter disorders.
Correlation of white matter abnormality characteristics with specific diagnoses.
Utilizing MRI for disease staging and treatment effect assessment.

Main Results:

MRI pattern recognition enables rapid diagnosis of white matter abnormalities.
Abnormality distribution and characteristics guide confirmatory testing.
MRI serves as a biomarker for tracking treatment effects in various neurological conditions.

Conclusions:

MRI pattern recognition is a powerful diagnostic tool for white matter diseases.
Knowledge of neurodevelopment is essential for interpreting pediatric MRI findings.
MRI is indispensable for managing leukodystrophies and acquired demyelinating disorders.