Literature DB >> 34184362

Improved Brain MR Imaging from a Compact, Lightweight 3T Scanner with High-Performance Gradients.

Emanuele Camerucci1, Norbert G Campeau1, Joshua D Trzasko1, Erin M Gray1, Matt A Bernstein1, Petrice M Cogswell1, Yunhong Shu1, Thomas K Foo2, John Huston1.   

Abstract

BACKGROUND: A low-cryogen, compact  3T (C3T) MRI scanner with high-performance gradients capable of simultaneously achieving 80 mT/m gradient amplitude and 700 T/m/second slew rate has been in use to study research patients since March 2016 but has not been implemented in the clinical practice.
PURPOSE: To compare head MRI examinations obtained with the C3T system and a conventional whole-body  3T (WB3T) scanner in seven parameters across five commonly used brain imaging sequences. STUDY TYPE: Prospective.
SUBJECTS: Thirty patients with a clinically indicated head MRI. SEQUENCE: 3T; T1 FLAIR, T1 MP-RAGE, 3D T2 FLAIR, T2 FSE, and DWI. ASSESSMENT: All patients tolerated the scans well. Three board-certified neuroradiologists scored the comparative quality of C3T and WB3T images in blinded fashion using a five-point Likert scale in terms of: signal-to-noise ratio, lesion conspicuity, motion artifact, gray/white matter contrast, cerebellar folia, susceptibility artifact, and overall quality. STATISTICAL TEST: Left-sided, right-sided, and two-sided Wilcoxon signed rank test; Fisher's method. A P value <0.05 was considered statistically significant.
RESULTS: The C3T system performed better than the WB3T in virtually all comparisons, except for motion artifacts for the T1 FLAIR and T1 MP-RAGE sequences, where the WB3T system was deemed better. When combining all sequences together, the C3T system outperformed the WB3T system in all image quality parameters evaluated, except for motion artifact (P = 0.13). DATA
CONCLUSION: The C3T scanner provided better overall image quality for all sequences, and performed better in all individual categories, except for motion artifact on the T1 FLAIR and T1 MP-RAGE. LEVEL OF EVIDENCE: 2 TECHNICAL EFFICACY STAGE: 1.
© 2021 International Society for Magnetic Resonance in Medicine.

Entities:  

Keywords:  MRI; brain;  3T

Mesh:

Year:  2021        PMID: 34184362      PMCID: PMC8806246          DOI: 10.1002/jmri.27812

Source DB:  PubMed          Journal:  J Magn Reson Imaging        ISSN: 1053-1807            Impact factor:   4.813


  12 in total

1.  Effect of imaging parameters on the accuracy of apparent diffusion coefficient and optimization strategies.

Authors:  Azim Celik
Journal:  Diagn Interv Radiol       Date:  2016 Jan-Feb       Impact factor: 2.630

2.  Comparison of reconstruction accuracy and efficiency among autocalibrating data-driven parallel imaging methods.

Authors:  Anja C S Brau; Philip J Beatty; Stefan Skare; Roland Bammer
Journal:  Magn Reson Med       Date:  2008-02       Impact factor: 4.668

Review 3.  3T MRI: advances in brain imaging.

Authors:  Juan Alvarez-Linera
Journal:  Eur J Radiol       Date:  2008-05-02       Impact factor: 3.528

4.  Reducing PNS with minimal performance penalties via simple pulse sequence modifications on a high-performance compact 3T scanner.

Authors:  Myung-Ho In; Yunhong Shu; Joshua D Trzasko; Uten Yarach; Daehun Kang; Erin M Gray; John Huston Iii; Matt A Bernstein
Journal:  Phys Med Biol       Date:  2020-06-05       Impact factor: 3.609

5.  Lightweight, compact, and high-performance 3T MR system for imaging the brain and extremities.

Authors:  Thomas K F Foo; Evangelos Laskaris; Mark Vermilyea; Minfeng Xu; Paul Thompson; Gene Conte; Christopher Van Epps; Christopher Immer; Seung-Kyun Lee; Ek T Tan; Dominic Graziani; Jean-Baptise Mathieu; Christopher J Hardy; John F Schenck; Eric Fiveland; Wolfgang Stautner; Justin Ricci; Joseph Piel; Keith Park; Yihe Hua; Ye Bai; Alex Kagan; David Stanley; Paul T Weavers; Erin Gray; Yunhong Shu; Matthew A Frick; Norbert G Campeau; Joshua Trzasko; John Huston; Matt A Bernstein
Journal:  Magn Reson Med       Date:  2018-03-13       Impact factor: 4.668

6.  Application of Adaptive Image Receive Coil Technology for Whole-Brain Imaging.

Authors:  Petrice M Cogswell; Joshua D Trzasko; Erin M Gray; Norbert G Campeau; Phillip J Rossman; Daehun Kang; Fraser Robb; Robert S Stormont; Scott A Lindsay; Matt A Bernstein; Kiaran P McGee; John Huston
Journal:  AJR Am J Roentgenol       Date:  2020-11-25       Impact factor: 3.959

7.  Peripheral nerve stimulation characteristics of an asymmetric head-only gradient coil compatible with a high-channel-count receiver array.

Authors:  Seung-Kyun Lee; Jean-Baptiste Mathieu; Dominic Graziani; Joseph Piel; Eric Budesheim; Eric Fiveland; Christopher J Hardy; Ek Tsoon Tan; Bruce Amm; Thomas K-F Foo; Matt A Bernstein; John Huston; Yunhong Shu; John F Schenck
Journal:  Magn Reson Med       Date:  2015-12-02       Impact factor: 4.668

8.  Gradient nonlinearity calibration and correction for a compact, asymmetric magnetic resonance imaging gradient system.

Authors:  S Tao; J D Trzasko; J L Gunter; P T Weavers; Y Shu; J Huston; S K Lee; E T Tan; M A Bernstein
Journal:  Phys Med Biol       Date:  2016-12-29       Impact factor: 3.609

9.  Gradient pre-emphasis to counteract first-order concomitant fields on asymmetric MRI gradient systems.

Authors:  Shengzhen Tao; Paul T Weavers; Joshua D Trzasko; Yunhong Shu; John Huston; Seung-Kyun Lee; Louis M Frigo; Matt A Bernstein
Journal:  Magn Reson Med       Date:  2016-07-04       Impact factor: 4.668

Review 10.  Low-field MRI: An MR physics perspective.

Authors:  José P Marques; Frank F J Simonis; Andrew G Webb
Journal:  J Magn Reson Imaging       Date:  2019-01-13       Impact factor: 4.813

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