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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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Rapid and robust variable flip angle T₁ mapping using interleaved two-dimensional multislice spoiled gradient echo

Rahel Heule^1,2, Oliver Bieri^1,2

¹Division of Radiological Physics, Department of Radiology, University of Basel Hospital, Basel, Switzerland.

Magnetic Resonance in Medicine

|April 22, 2016

Summary

This summary is machine-generated.

This study introduces an optimized 2D multislice SPGR sequence for T1 mapping in the brain. The new method provides accurate T1 quantification insensitive to T2 effects, improving brain tissue analysis.

Keywords:

T1 mapping fast imaging human brain tissues interleaved 2D multislice sequence spoiled gradient echo (SPGR)

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Area of Science:

Magnetic Resonance Imaging
Biomedical Engineering
Neuroscience

Background:

Conventional T1 mapping using 3D SPGR is limited by residual T2 dependency due to incomplete spoiling.
Accurate T1 quantification is crucial for characterizing brain tissue.

Purpose of the Study:

To evaluate an optimized interleaved 2D multislice SPGR sequence for T1 quantification.
To achieve T2-insensitive T1 measurements in human brain tissues.

Main Methods:

An efficient 2D multislice SPGR protocol with a 200 ms TR was developed.
T1 was quantified using signal ratios from two SPGR datasets with different flip angles.
Bloch simulations incorporated nonideal RF excitation profiles.

Main Results:

Simulations confirmed virtually complete spoiling with the optimized SPGR protocol.
In vitro and in vivo T1 measurements validated the protocol's effectiveness.
The method demonstrated high reproducibility.

Conclusions:

The developed 2D multislice SPGR protocol enables efficient and reproducible T1 quantification.
This approach significantly reduces T2 dependency in brain tissue T1 mapping.