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A simultaneous multi-slice T₂ mapping framework based on overlapping-echo detachment planar imaging and deep learning

Simin Li¹, Jian Wu¹, Lingceng Ma¹

¹Department of Electronic Science, Fujian Provincial Key Laboratory of Plasma and Magnetic Resonance, Xiamen University, Xiamen, China.

Magnetic Resonance in Medicine

|January 11, 2022

Summary

This summary is machine-generated.

This study introduces a novel simultaneous multi-slice T2 mapping (SMS-OLED) technique for quantitative MRI (qMRI). This accelerated method significantly reduces scan times, enabling faster and more reliable imaging for clinical and research applications.

Keywords:

MRI T2 mapping deep learning overlapping echoes simultaneous multi-slice

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3D Scanning Technology Bridging Microcircuits and Macroscale Brain Images in 3D Novel Embedding Overlapping Protocol

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Published on: May 12, 2019

Area of Science:

Magnetic Resonance Imaging
Medical Physics
Biomedical Engineering

Background:

Quantitative MRI (qMRI) is crucial for clinical medicine and research.
Current qMRI methods are often slow and motion-sensitive, particularly for large 3D volumes.
Accelerated acquisition techniques are needed to overcome these limitations.

Purpose of the Study:

To develop and validate a framework for accelerated simultaneous multi-slice T2 mapping.
To improve the efficiency and reliability of qMRI acquisition.
To enable dynamic and functional qMRI applications requiring high temporal resolution.

Main Methods:

A simultaneous multi-slice T2 mapping framework based on overlapping-echo detachment (SMS-OLED) planar imaging was developed.
Multi-slice overlapping-echo signals were generated using multiple excitation pulses and echo-shifting gradients.
U-Net deep learning was employed for reconstructing T2 maps from acquired signals with a single-channel coil.

Main Results:

Demonstrated superior performance of the SMS-OLED method in simulations, phantom, and in vivo rat brain experiments.
Achieved acquisition of two T2-mapped slices within hundreds of milliseconds in a single shot.
Obtained higher quality multi-slice T2 maps with multiple shots.

Conclusions:

SMS-OLED enables rapid acquisition of multi-slice T2 maps, significantly reducing scan times.
The method offers a lower specific absorption rate compared to conventional simultaneous multi-slice techniques using a single receiver channel.
SMS-OLED holds significant potential for dynamic and functional qMRI applications.