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Magnetization-prepared Shells Trajectory with Automated Gradient Waveform Design

Overview
Journal Magn Reson Med
Publisher Wiley
Specialty Radiology
Date 2017 Aug 24
PMID 28833440
Citations 2
Authors
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Abstract

Purpose: To develop a fully automated trajectory and gradient waveform design for the non-Cartesian shells acquisition, and to develop a magnetization-prepared (MP) shells acquisition to achieve an efficient three-dimensional acquisition with improved gray-to-white brain matter contrast.

Methods: After reviewing the shells k-space trajectory, a novel, fully automated trajectory design is developed that allows for gradient waveforms to be automatically generated for specified acquisition parameters. Designs for two types of shells are introduced, including fully sampled and undersampled/accelerated shells. Using those designs, an MP-Shells acquisition is developed by adjusting the acquisition order of shells interleaves to synchronize the center of k-space sampling with the peak of desired gray-to-white matter contrast. The feasibility of the proposed design and MP-Shells is demonstrated using simulation, phantom, and volunteer subject experiments, and the performance of MP-Shells is compared with a clinical Cartesian magnetization-prepared rapid gradient echo acquisition.

Results: Initial experiments show that MP-Shells produces excellent image quality with higher data acquisition efficiency and improved gray-to-white matter contrast-to-noise ratio (by 36%) compared with the conventional Cartesian magnetization-prepared rapid gradient echo acquisition.

Conclusion: We demonstrated the feasibility of a three-dimensional MP-Shells acquisition and an automated trajectory design to achieve an efficient acquisition with improved gray-to-white matter contrast. Magn Reson Med 79:2024-2035, 2018. © 2017 International Society for Magnetic Resonance in Medicine.

Citing Articles

Partial fourier shells trajectory for non-cartesian MRI.

Tao S, Shu Y, Trzasko J, Huston J, Bernstein M Phys Med Biol. 2019; 64(4):04NT01.

PMID: 30625455 PMC: 6454926. DOI: 10.1088/1361-6560/aafcc5.


Magnetization-prepared shells trajectory with automated gradient waveform design.

Shu Y, Tao S, Trzasko J, Huston 3rd J, Weavers P, Bernstein M Magn Reson Med. 2017; 79(4):2024-2035.

PMID: 28833440 PMC: 5811388. DOI: 10.1002/mrm.26863.

References
1.
Kolmogorov V, Zabih R . What energy functions can be minimized via graph cuts?. IEEE Trans Pattern Anal Mach Intell. 2004; 26(2):147-59. DOI: 10.1109/TPAMI.2004.1262177. View

2.
Venkataraman A, Yang D, Dvornek N, Staib L, Duncan J, Pelphrey K . Pivotal response treatment prompts a functional rewiring of the brain among individuals with autism spectrum disorder. Neuroreport. 2016; 27(14):1081-5. PMC: 5007196. DOI: 10.1097/WNR.0000000000000662. View

3.
Jack Jr C, Bernstein M, Fox N, Thompson P, Alexander G, Harvey D . The Alzheimer's Disease Neuroimaging Initiative (ADNI): MRI methods. J Magn Reson Imaging. 2008; 27(4):685-91. PMC: 2544629. DOI: 10.1002/jmri.21049. View

4.
Wu H, Lee J, Nishimura D . MRI using a concentric rings trajectory. Magn Reson Med. 2007; 59(1):102-12. DOI: 10.1002/mrm.21300. View

5.
Shu Y, Riederer S, Bernstein M . Three-dimensional MRI with an undersampled spherical shells trajectory. Magn Reson Med. 2006; 56(3):553-62. DOI: 10.1002/mrm.20977. View