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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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Quantitative Magnetic Resonance Imaging of Skeletal Muscle Disease

Quantitative Magnetic Resonance Imaging of Skeletal Muscle Disease

Published on: December 18, 2016

Quantitative T1 mapping using multi-slice multi-shot inversion recovery EPI.

Rosa M Sanchez Panchuelo¹, Olivier Mougin², Robert Turner³

¹Sir Peter Mansfield Imaging Centre, School of Physics and Astronomy, University of Nottingham, Nottingham, United Kingdom; NIHR Nottingham Biomedical Research Centre, University of Nottingham, Nottingham, United Kingdom.

|March 30, 2021

Summary

This summary is machine-generated.

A new multi-slice inversion-recovery EPI (MS-IR-EPI) technique enables faster, high-resolution T1 mapping. This method improves signal-to-noise ratio and image sharpness, offering better visualization of brain structures.

Keywords:

Fat suppression Multi-slice IR‑EPI Neuroanatomy Quantitative T1 mapping Structural MRI

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Area of Science:

Magnetic Resonance Imaging
Quantitative Neuroimaging

Background:

Quantitative T1 mapping is crucial for neuroimaging.
Existing methods like MP2RAGE have limitations in speed and resolution.

Purpose of the Study:

To present an efficient multi-slice inversion-recovery EPI (MS-IR-EPI) sequence for fast, high spatial resolution, quantitative T1 mapping.
To assess the precision and repeatability of MS-IR-EPI T1 measurements.
To compare MS-IR-EPI with existing methods like MP2RAGE.

Main Methods:

Utilized a segmented simultaneous multi-slice acquisition with slice order shifting.
Performed phantom studies at 3 and 7 Tesla using T1- and T2-calibrated phantoms.
Developed a model to correct for Magnetization Transfer (MT) effects from fat suppression pulses.

Main Results:

MS-IR-EPI demonstrated high precision and repeatability in T1 measurements.
The sequence minimized geometric distortions, providing high-quality T1 maps.
Compared to MP2RAGE, MS-IR-EPI achieved higher SNR per unit time and sharper T1 maps.
The developed model successfully corrected for MT effects, enabling accurate in vivo T1 quantification.

Conclusions:

MS-IR-EPI is a promising technique for ultra-high resolution T1 mapping.
It offers improved discrimination of functionally relevant cortical areas in the human brain.
The sequence provides high-quality, quantitative T1 maps with enhanced efficiency.