A Gradient Coil Design Method Based on Minimum Vrms Error

A technology of gradient coils and design methods, applied in calculations, special data processing applications, instruments, etc., can solve problems such as the inability to guarantee the minimum linear error, and achieve the effect of fast and accurate calculations
CN105205227BActive Publication Date: 2018-05-08HOHAI UNIV
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Patent Information

Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
HOHAI UNIV
Publication Date
2018-05-08

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Abstract

The invention discloses a gradient coil design method based on the minimum VRMS error, which is characterized in that the design of the gradient coil satisfies the minimum functional function formed by the square of the VRMS linear error and the weighted sum of coil energy storage. The invention also provides an algorithm flow for designing gradient coils based on the minimum VRMS error. For the spherical imaging area, the present invention adopts harmonic coefficient expansion to calculate VRMS error, which has high efficiency and precision. The present invention is suitable for designing any type of existing gradient coils such as cylindrical gradient coils, flat plate gradient coils, and irregular-shaped gradient coils.
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Description

technical field

[0001] The invention relates to a gradient coil design method based on minimum VRMS error, and belongs to the field of component design of nuclear magnetic resonance imaging systems. Background technique

[0002] Whether it is a permanent magnet MRI or a superconducting MRI, the core key component is the gradient coil. The criteria for measuring the performance of gradient coils mainly include field strength, linearity, and switching rate. The design of the gradient coil is mainly to take into account these three indicators. The current mainstream gradient coil design algorithms mostly take a series of sampling points in the imaging area or surface, and then weight the sum of squares of the error between the gradient field at the sampling point and the ideal gradient field and the sum of the coil energy storage. minimum. The disadvantage of this is that the algorithm only guarantees the minimum linear error at the sampling point, but cannot guarantee the m...

Claims

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