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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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High-resolution Functional Magnetic Resonance Imaging Methods for Human Midbrain

High-resolution Functional Magnetic Resonance Imaging Methods for Human Midbrain

Published on: May 10, 2012

Magnetic resonance brain image processing and arithmetic with FSL.

William R Crum¹

¹King's College London, Institute of Psychiatry, Centre for Neuroimaging Sciences, London, UK. bill.crum@iop.kcl.ac.uk

Methods in Molecular Biology (Clifton, N.J.)

|February 1, 2011

Summary

This summary is machine-generated.

Quantitative medical imaging uses image analysis for measurements. While automatic methods are ideal, manual techniques are crucial when automated approaches fail or are unavailable, especially in brain imaging.

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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

Area of Science:

Medical Imaging
Neuroimaging
Image Analysis

Background:

Medical imaging has shifted towards quantitative analysis for structural and functional measurements.
Automatic image analysis pipelines are desirable but often fail or are not available for novel applications.
Manual intervention with established image processing techniques remains vital in medical imaging.

Purpose of the Study:

To highlight the importance of manual image processing and analysis techniques.
To present key image analysis tasks in brain imaging.
To reference the utility of the FMRIB Software Library.

Main Methods:

Review and presentation of established image processing and analysis techniques.
Focus on applications within brain imaging.
Demonstration using the FMRIB Software Library.

Main Results:

Automatic methods in quantitative imaging are not always reliable or universally applicable.
Understanding and applying manual image analysis techniques is essential for robust results.
The FMRIB Software Library offers valuable tools for these tasks.

Conclusions:

Quantitative medical imaging relies on both automated and manual analysis methods.
Expertise in image processing is crucial for overcoming limitations of automated tools.
Freely available software like FMRIB Software Library supports advanced neuroimaging analysis.