Literature DB >> 35689695

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

Hongyan He1,2,3, Shufeng Wei1, Huixian Wang1, Wenhui Yang4,5.   

Abstract

OBJECTIVE: The goal of this work is to analyze the influence of the distributions and dimensions of the coil elements and to present a method for improving the performance of the matrix gradient coil.
METHODS: Three typical models (five structures in total) are presented, and a double-layer biplanar matrix gradient coil is used to install coil elements. Two metrics, namely, the role of coil elements and mutual inductance between coil elements, are proposed to assess the performance of coil systems. An optimization approach to design matrix gradient coils is introduced based on analyzing the distributions and dimensions of coil elements. The flexibility of the magnetic field generation of the designed coil structure is demonstrated by generating full third-order spherical harmonic fields and different oblique gradient fields.
RESULTS: Matrix gradient coils with suitable distributions are capable of generating target magnetic fields. The role of coil elements quantitatively illustrates that the coil elements have different impacts on generating magnetic fields. Increasing the coil element dimension within a certain range can reduce the mutual inductance between coil elements and improve the performance of the coil system. The designed novel double-layer biplanar matrix gradient coil achieves an acceptable performance in generating different magnetic fields.
CONCLUSIONS: The proposed metrics can provide theoretical support for designing matrix gradient coils and evaluating their performance. The role of coil elements contributes to analyzing the distributions of coil elements to decrease the number of coil elements and power amplifiers. The mutual inductance between coil elements can be a reference for designing the dimensions of coil elements.
© 2022. The Author(s), under exclusive licence to European Society for Magnetic Resonance in Medicine and Biology (ESMRMB).

Entities:  

Keywords:  Gradient; Magnetic resonance imaging (MRI); Matrix gradient coil; Multi-coil; Shimming

Year:  2022        PMID: 35689695     DOI: 10.1007/s10334-022-01021-7

Source DB:  PubMed          Journal:  MAGMA        ISSN: 0968-5243            Impact factor:   2.310


  30 in total

1.  Magnetic field modeling with a set of individual localized coils.

Authors:  Christoph Juchem; Terence W Nixon; Scott McIntyre; Douglas L Rothman; Robin A de Graaf
Journal:  J Magn Reson       Date:  2010-03-11       Impact factor: 2.229

2.  Designing MR shim arrays with irregular coil geometry: theoretical considerations.

Authors:  Peter T While; Jan G Korvink
Journal:  IEEE Trans Biomed Eng       Date:  2014-06       Impact factor: 4.538

3.  Multicoil shimming of the mouse brain.

Authors:  Christoph Juchem; Peter B Brown; Terence W Nixon; Scott McIntyre; Douglas L Rothman; Robin A de Graaf
Journal:  Magn Reson Med       Date:  2011-03-25       Impact factor: 4.668

Review 4.  Gradient coil design: a review of methods.

Authors:  R Turner
Journal:  Magn Reson Imaging       Date:  1993       Impact factor: 2.546

5.  Dynamic multi-coil shimming of the human brain at 7 T.

Authors:  Christoph Juchem; Terence W Nixon; Scott McIntyre; Vincent O Boer; Douglas L Rothman; Robin A de Graaf
Journal:  J Magn Reson       Date:  2011-07-23       Impact factor: 2.229

Review 6.  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

7.  Multi-coil magnetic field modeling.

Authors:  Christoph Juchem; Dan Green; Robin A de Graaf
Journal:  J Magn Reson       Date:  2013-09-13       Impact factor: 2.229

8.  Multi-slice MRI with the dynamic multi-coil technique.

Authors:  Christoph Juchem; Omar M Nahhass; Terence W Nixon; Robin A de Graaf
Journal:  NMR Biomed       Date:  2015-09-30       Impact factor: 4.044

9.  DYNAmic Multi-coIl TEchnique (DYNAMITE) shimming of the rat brain at 11.7 T.

Authors:  Christoph Juchem; Peter Herman; Basavaraju G Sanganahalli; Peter B Brown; Scott McIntyre; Terence W Nixon; Dan Green; Fahmeed Hyder; Robin A de Graaf
Journal:  NMR Biomed       Date:  2014-05-17       Impact factor: 4.044

10.  Reconstruction of MRI data encoded by multiple nonbijective curvilinear magnetic fields.

Authors:  Fa-Hsuan Lin; Thomas Witzel; Gerrit Schultz; Daniel Gallichan; Wen-Jui Kuo; Fu-Nien Wang; Juergen Hennig; Maxim Zaitsev; John W Belliveau
Journal:  Magn Reson Med       Date:  2012-01-13       Impact factor: 4.668

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