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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: May 1, 2026

Quantitative Magnetic Resonance Imaging of Skeletal Muscle Disease

Quantitative Magnetic Resonance Imaging of Skeletal Muscle Disease

Published on: December 18, 2016

MuscleMap: An Open-Source, Community-Supported Consortium for Whole-Body Quantitative MRI of Muscle.

Marnee J McKay¹, Kenneth A Weber², Evert O Wesselink^2,3

¹Faculty of Medicine and Health, The University of Sydney, Sydney, NSW 2006, Australia.

Journal of Imaging

|November 26, 2024

Summary

This summary is machine-generated.

This study establishes the first reference dataset for healthy muscle composition using MRI. This will help identify atypical changes in neurological and musculoskeletal disorders, improving patient care.

Keywords:

MR imaging artificial intelligence machine learning muscle fat infiltration neural networks normative reference data public datasets

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Last Updated: May 1, 2026

Quantitative Magnetic Resonance Imaging of Skeletal Muscle Disease

Quantitative Magnetic Resonance Imaging of Skeletal Muscle Disease

Published on: December 18, 2016

3D Ultrasound Imaging: Fast and Cost-effective Morphometry of Musculoskeletal Tissue

3D Ultrasound Imaging: Fast and Cost-effective Morphometry of Musculoskeletal Tissue

Published on: November 27, 2017

Non-invasive Skeletal Muscle Quantification in Small Animals Using Micro-computed Tomography

Non-invasive Skeletal Muscle Quantification in Small Animals Using Micro-computed Tomography

Published on: November 8, 2024

Area of Science:

Neurology
Musculoskeletal Health
Medical Imaging

Background:

Neurological and musculoskeletal disorders are major global health concerns.
Lack of sensitive outcome measures hinders therapeutic development.
Muscle composition changes, like fatty infiltrates, are key indicators in these disorders.

Purpose of the Study:

To establish a normative reference MRI dataset of skeletal muscle composition.
To understand typical age-related muscle composition across the lifespan.
To provide a benchmark for identifying atypical muscle changes in disease.

Main Methods:

Utilizing Magnetic Resonance Imaging (MRI) to quantify skeletal muscle composition.
Developing a comprehensive dataset of healthy muscle composition.
Analyzing age-related variations in muscle fat infiltration and composition.

Main Results:

The project, MuscleMap, is creating the first normative MRI reference dataset for skeletal muscle composition.
This dataset will characterize typical age-related changes in muscle composition.
It will serve as a crucial tool for research and clinical applications.

Conclusions:

Establishing a normative muscle composition dataset is vital for diagnosing and monitoring neuromuscular and musculoskeletal disorders.
This resource will enhance the accuracy of outcome measures in clinical trials.
The MuscleMap project aims to significantly advance research and patient care in related fields.