Literature DB >> 28444778

Development and implementation of an 84-channel matrix gradient coil.

Sebastian Littin1, Feng Jia1, Kelvin J Layton2, Stefan Kroboth1, Huijun Yu1, Jürgen Hennig1, Maxim Zaitsev1.   

Abstract

PURPOSE: Design, implement, integrate, and characterize a customized coil system that allows for generating spatial encoding magnetic fields (SEMs) in a highly-flexible fashion.
METHODS: A gradient coil with a high number of individual elements was designed. Dimensions of the coil were chosen to mimic a whole-body gradient system, scaled down to a head insert. Mechanical shape and wire layout of each element were optimized to increase the local gradient strength while minimizing eddy current effects and simultaneously considering manufacturing constraints.
RESULTS: Resulting wire layout and mechanical design is presented. A prototype matrix gradient coil with 12 × 7 = 84 elements consisting of two element types was realized and characterized. Measured eddy currents are <1% of the original field. The coil is shown to be capable of creating nonlinear, and linear SEMs. In a DSV of 0.22 m gradient strengths between 24 mT∕m and 78 mT∕m could be realized locally with maximum currents of 150 A. Initial proof-of-concept imaging experiments using linear and nonlinear encoding fields are demonstrated.
CONCLUSION: A shielded matrix gradient coil setup capable of generating encoding fields in a highly-flexible manner was designed and implemented. The presented setup is expected to serve as a basis for validating novel imaging techniques that rely on nonlinear spatial encoding fields. Magn Reson Med 79:1181-1191, 2018.
© 2017 International Society for Magnetic Resonance in Medicine. © 2017 International Society for Magnetic Resonance in Medicine.

Keywords:  gradient coil; hardware design; nonlinear encoding; shim coil

Mesh:

Year:  2017        PMID: 28444778     DOI: 10.1002/mrm.26700

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


  10 in total

1.  Prediction of peripheral nerve stimulation thresholds of MRI gradient coils using coupled electromagnetic and neurodynamic simulations.

Authors:  Mathias Davids; Bastien Guérin; Axel Vom Endt; Lothar R Schad; Lawrence L Wald
Journal:  Magn Reson Med       Date:  2018-08-09       Impact factor: 4.668

Review 2.  In vivo B0 field shimming methods for MRI at 7T.

Authors:  Jason P Stockmann; Lawrence L Wald
Journal:  Neuroimage       Date:  2017-06-07       Impact factor: 6.556

3.  Analysis of coil element distribution and dimension for matrix gradient coils.

Authors:  Hongyan He; Shufeng Wei; Huixian Wang; Wenhui Yang
Journal:  MAGMA       Date:  2022-06-11       Impact factor: 2.310

4.  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 5.  Magnetic Resonance Imaging technology-bridging the gap between noninvasive human imaging and optical microscopy.

Authors:  Jonathan R Polimeni; Lawrence L Wald
Journal:  Curr Opin Neurobiol       Date:  2018-05-11       Impact factor: 6.627

6.  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

7.  Switching Circuit Optimization for Matrix Gradient Coils.

Authors:  Stefan Kroboth; Kelvin J Layton; Feng Jia; Sebastian Littin; Huijun Yu; Jürgen Hennig; Maxim Zaitsev
Journal:  Tomography       Date:  2019-06

8.  Clinical Potential of a New Approach to MRI Acceleration.

Authors:  Nadine L Dispenza; Sebastian Littin; Maxim Zaitsev; R Todd Constable; Gigi Galiana
Journal:  Sci Rep       Date:  2019-02-13       Impact factor: 4.379

Review 9.  15 Years MR-encephalography.

Authors:  Juergen Hennig; Vesa Kiviniemi; Bruno Riemenschneider; Antonia Barghoorn; Burak Akin; Fei Wang; Pierre LeVan
Journal:  MAGMA       Date:  2020-10-20       Impact factor: 2.310

10.  Thermal variation in gradient response: measurement and modeling.

Authors:  Jennifer Nussbaum; Benjamin E Dietrich; Bertram J Wilm; Klaas P Pruessmann
Journal:  Magn Reson Med       Date:  2021-12-21       Impact factor: 3.737

  10 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.