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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: Mar 15, 2026

Magnetic Resonance Imaging of Multiple Sclerosis at 7.0 Tesla

Magnetic Resonance Imaging of Multiple Sclerosis at 7.0 Tesla

Published on: February 19, 2021

High-resolution diffusion MRI at 7T using a three-dimensional multi-slab acquisition.

Wenchuan Wu¹, Benedikt A Poser², Gwenaëlle Douaud¹

¹FMRIB Centre, Nuffield Department of Clinical Neurosciences, University of Oxford, Oxford, UK.

|August 30, 2016

Summary

This summary is machine-generated.

This study enhances high-resolution diffusion MRI by combining ultra-high field and 3D multi-slab acquisition. This improves signal-to-noise ratio for detailed brain white matter imaging.

Keywords:

3D 7T Diffusion High resolution Multi-slab Tractography

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Last Updated: Mar 15, 2026

Magnetic Resonance Imaging of Multiple Sclerosis at 7.0 Tesla

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Published on: February 19, 2021

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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:

Neuroimaging
Magnetic Resonance Imaging
Biophysics

Background:

High-resolution diffusion MRI is crucial for studying detailed white matter architecture.
Low signal-to-noise ratio (SNR) is a major challenge for in vivo high-resolution diffusion MRI.

Purpose of the Study:

To improve SNR in high-resolution diffusion MRI by combining ultra-high field (7T) and 3D multi-slab acquisition.
To develop and evaluate new methods for robust auto-calibration signal acquisition and artifact correction in 3D multi-slab diffusion MRI.

Main Methods:

Combined ultra-high field (7T) with 3D multi-slab acquisition for diffusion MRI.
Applied in-plane parallel acceleration to minimize image distortions.
Developed and evaluated adapted Fast Low Angle Excitation Echo-Planar Technique (FLEET) methods for auto-calibration signal acquisition.
Implemented a modified reconstruction scheme for navigator-corrected auto-calibration.
Corrected slab boundary artifacts using nonlinear slab profile encoding.

Main Results:

Achieved high-quality diffusion MRI data with approximately 1mm isotropic resolution.
Demonstrated compatibility of scan speeds with conventional 2D diffusion MRI.
Successfully reduced sensitivity of auto-calibration data to motion and respiration.
Validated the effectiveness of motion and artifact correction techniques in vivo.

Conclusions:

The combination of 7T, 3D multi-slab acquisition, improved auto-calibration, and artifact correction enables high-quality, high-resolution diffusion MRI.
This technique offers a promising approach for detailed in vivo investigations of brain white matter architecture.