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Magnetic Resonance Imaging of Multiple Sclerosis at 7.0 Tesla

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3D magnetization-prepared imaging using a stack-of-rings trajectory.

Holden H Wu¹, Dwight G Nishimura

¹Magnetic Resonance Systems Research Laboratory, Department of Electrical Engineering, Stanford University, Stanford, California, USA. holdenhwu@stanford.edu

Magnetic Resonance in Medicine

|May 1, 2010

Summary

This summary is machine-generated.

This study introduces a novel 3D stack-of-rings k-space trajectory for efficient magnetization-prepared imaging. This method enhances signal and contrast in brain imaging, achieving higher quality scans in less time.

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Area of Science:

Magnetic Resonance Imaging (MRI)
Biomedical Engineering
Image Acquisition

Background:

Magnetization-prepared imaging sequences are crucial for enhancing image contrast in MRI.
Standard 3D Cartesian trajectories can be time-consuming and sensitive to system imperfections.
Developing efficient and robust acquisition strategies is essential for improving MRI scan times and image quality.

Purpose of the Study:

To present efficient acquisition strategies for magnetization-prepared imaging using a novel 3D stack-of-rings k-space trajectory.
To demonstrate the robustness and efficiency of this new trajectory for various imaging applications.
To evaluate the performance of the 3D stack-of-rings trajectory in inversion-recovery-prepared structural brain imaging.

Main Methods:

Implementation of a 3D stack-of-rings k-space trajectory with centric ordering in all dimensions.
Utilizing a time-efficient retracing design for each ring acquisition.
Applying the trajectory to inversion-recovery-prepared structural brain imaging and comparing it with standard 3D Cartesian encoding.

Main Results:

The 3D stack-of-rings trajectory enables centric ordering for efficient contrast capture.
It supports spherical k-space coverage, leading to shorter scan times and isotropic resolution.
Phantom scans demonstrated robustness to timing delays and off-resonance effects, showing only bulk rotation in reconstruction.
Experimental results showed higher signal-to-noise ratio (SNR) and contrast-to-noise ratio (CNR) compared to standard 3D Cartesian sequences.
Fat/water separation and resolution of field inhomogeneities were enabled by the retracing design.

Conclusions:

The 3D stack-of-rings k-space trajectory offers an efficient and robust method for magnetization-prepared imaging.
This approach significantly improves SNR and CNR in shorter scan times, particularly for structural brain imaging.
The demonstrated principles are applicable to a wide range of magnetization-prepared MRI applications.