Literature DB >> 31763726

Highly efficient head-only magnetic field insert gradient coil for achieving simultaneous high gradient amplitude and slew rate at 3.0T (MAGNUS) for brain microstructure imaging.

Thomas K F Foo1,2, Ek Tsoon Tan1, Mark E Vermilyea1, Yihe Hua1, Eric W Fiveland1, Joseph E Piel1, Keith Park1, Justin Ricci1, Paul S Thompson1, Dominic Graziani1, Gene Conte1, Alex Kagan1, Ye Bai1, Christina Vasil1, Matthew Tarasek1, Desmond T B Yeo1, Franklyn Snell3, David Lee3, Aaron Dean3, J Kevin DeMarco2,4, Robert Y Shih2,4, Maureen N Hood2,4, Heechin Chae5, Vincent B Ho2,4.   

Abstract

PURPOSE: To develop a highly efficient magnetic field gradient coil for head imaging that achieves 200 mT/m and 500 T/m/s on each axis using a standard 1 MVA gradient driver in clinical whole-body 3.0T MR magnet.
METHODS: A 42-cm inner diameter head-gradient used the available 89- to 91-cm warm bore space in a whole-body 3.0T magnet by increasing the radial separation between the primary and the shield coil windings to 18.6 cm. This required the removal of the standard whole-body gradient and radiofrequency coils. To achieve a coil efficiency ~4× that of whole-body gradients, a double-layer primary coil design with asymmetric x-y axes, and symmetric z-axis was used. The use of all-hollow conductor with direct fluid cooling of the gradient coil enabled ≥50 kW of total heat dissipation.
RESULTS: This design achieved a coil efficiency of 0.32 mT/m/A, allowing 200 mT/m and 500 T/m/s for a 620 A/1500 V driver. The gradient coil yielded substantially reduced echo spacing, and minimum repetition time and echo time. In high b = 10,000 s/mm2 diffusion, echo time (TE) < 50 ms was achieved (>50% reduction compared with whole-body gradients). The gradient coil passed the American College of Radiology tests for gradient linearity and distortion, and met acoustic requirements for nonsignificant risk operation.
CONCLUSIONS: Ultra-high gradient coil performance was achieved for head imaging without substantial increases in gradient driver power in a whole-body 3.0T magnet after removing the standard gradient coil. As such, any clinical whole-body 3.0T MR system could be upgraded with 3-4× improvement in gradient performance for brain imaging.
© 2019 International Society for Magnetic Resonance in Medicine.

Keywords:  advanced diffusion imaging; brain imaging; brain microstructure imaging; echo planar imaging; electric fields; gradient coil; gradient coil insert; high efficiency coil; high gradient amplitude; high gradient slew rate; high-performance gradient; magnetic fields; peripheral nerve stimulation

Mesh:

Year:  2019        PMID: 31763726     DOI: 10.1002/mrm.28087

Source DB:  PubMed          Journal:  Magn Reson Med        ISSN: 0740-3194            Impact factor:   4.668


  9 in total

Review 1.  Connectome 2.0: Developing the next-generation ultra-high gradient strength human MRI scanner for bridging studies of the micro-, meso- and macro-connectome.

Authors:  Susie Y Huang; Thomas Witzel; Boris Keil; Alina Scholz; Mathias Davids; Peter Dietz; Elmar Rummert; Rebecca Ramb; John E Kirsch; Anastasia Yendiki; Qiuyun Fan; Qiyuan Tian; Gabriel Ramos-Llordén; Hong-Hsi Lee; Aapo Nummenmaa; Berkin Bilgic; Kawin Setsompop; Fuyixue Wang; Alexandru V Avram; Michal Komlosh; Dan Benjamini; Kulam Najmudeen Magdoom; Sudhir Pathak; Walter Schneider; Dmitry S Novikov; Els Fieremans; Slimane Tounekti; Choukri Mekkaoui; Jean Augustinack; Daniel Berger; Alexander Shapson-Coe; Jeff Lichtman; Peter J Basser; Lawrence L Wald; Bruce R Rosen
Journal:  Neuroimage       Date:  2021-08-28       Impact factor: 7.400

2.  A silent gradient axis for soundless spatial encoding to enable fast and quiet brain imaging.

Authors:  Edwin Versteeg; Dennis W J Klomp; Jeroen C W Siero
Journal:  Magn Reson Med       Date:  2021-09-21       Impact factor: 3.737

Review 3.  Mapping the human connectome using diffusion MRI at 300 mT/m gradient strength: Methodological advances and scientific impact.

Authors:  Qiuyun Fan; Cornelius Eichner; Maryam Afzali; Lars Mueller; Chantal M W Tax; Mathias Davids; Mirsad Mahmutovic; Boris Keil; Berkin Bilgic; Kawin Setsompop; Hong-Hsi Lee; Qiyuan Tian; Chiara Maffei; Gabriel Ramos-Llordén; Aapo Nummenmaa; Thomas Witzel; Anastasia Yendiki; Yi-Qiao Song; Chu-Chung Huang; Ching-Po Lin; Nikolaus Weiskopf; Alfred Anwander; Derek K Jones; Bruce R Rosen; Lawrence L Wald; Susie Y Huang
Journal:  Neuroimage       Date:  2022-02-23       Impact factor: 7.400

Review 4.  What's new and what's next in diffusion MRI preprocessing.

Authors:  Chantal M W Tax; Matteo Bastiani; Jelle Veraart; Eleftherios Garyfallidis; M Okan Irfanoglu
Journal:  Neuroimage       Date:  2021-12-26       Impact factor: 7.400

5.  Optimization of MRI Gradient Coils With Explicit Peripheral Nerve Stimulation Constraints.

Authors:  Mathias Davids; Bastien Guerin; Valerie Klein; Lawrence L Wald
Journal:  IEEE Trans Med Imaging       Date:  2020-12-29       Impact factor: 10.048

Review 6.  MRI with ultrahigh field strength and high-performance gradients: challenges and opportunities for clinical neuroimaging at 7 T and beyond.

Authors:  Behroze Vachha; Susie Y Huang
Journal:  Eur Radiol Exp       Date:  2021-08-26

7.  Time-dependent diffusion MRI probes cerebellar microstructural alterations in a mouse model of Down syndrome.

Authors:  Dan Wu; Yi Zhang; Bei Cheng; Susumu Mori; Roger H Reeves; Feng J Gao
Journal:  Brain Commun       Date:  2021-04-05

8.  Evaluating diffusion dispersion across an extended range of b-values and frequencies: Exploiting gap-filled OGSE shapes, strong gradients, and spiral readouts.

Authors:  Eric Seth Michael; Franciszek Hennel; Klaas Paul Pruessmann
Journal:  Magn Reson Med       Date:  2022-01-20       Impact factor: 3.737

9.  Scan-rescan repeatability of axonal imaging metrics using high-gradient diffusion MRI and statistical implications for study design.

Authors:  Qiuyun Fan; Maya N Polackal; Qiyuan Tian; Chanon Ngamsombat; Aapo Nummenmaa; Thomas Witzel; Eric C Klawiter; Susie Y Huang
Journal:  Neuroimage       Date:  2021-07-01       Impact factor: 6.556

  9 in total

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