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  •   Open Research
  • AUT Faculties
  • Faculty of Design and Creative Technologies (Te Ara Auaha)
  • School of Engineering, Computer and Mathematical Sciences - Te Kura Mātai Pūhanga, Rorohiko, Pāngarau
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Gradient Coils Design with Regularization Method for Superconducting Magnetic Resonance Imaging

Zheng, S; Li, X; Yan, W-Q; Xu, W
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Conference contribution (1.225Mb)
Permanent link
http://hdl.handle.net/10292/12242
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Abstract
This paper proposes an approach to the design of gradient coils for superconducting magnetic resonance imaging (MRI). The designed method takes use of Fourier series expansions to describe the continuous current density of the coil surface and then employs stream function method to extract the coil patterns. During the numerical simulation, a linear equation is constructed and solved using a Tikhonov regularization scheme. Using this method, the gradient coils with high level of linearity are designed. Our contributions in this paper are to expend the current densities of coils into Fourier series analytically as well as optimize the parameters of regularization from the plotted curve.
Keywords
Superconducting magnetic resonance imaging; Stream function; Gradient coil; Tikhonov regularization
Date
November 20, 2018
Source
Image and Vision Computing New Zealand 2018, Auckland, New Zealand, 19-21 November, 2018.
Item Type
Conference Contribution
Publisher
IEEE
Publisher's Version
http://ivcnz2018.massey.ac.nz/accepted-papers/#39
Rights Statement
NOTICE: this is the author’s version of a work that was accepted for publication. Changes resulting from the publishing process, such as peer review, editing, corrections, structural formatting, and other quality control mechanisms may not be reflected in this document. Changes may have been made to this work since it was submitted for publication. A definitive version was subsequently published in (see Citation). The original publication is available at (see Publisher's Version).

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