A refined circuit model of high temperature superconducting spiral coils for MRI

Author

Gao, Erzhen ; Ma, Q.Y.

Author_Institution

Dept. of Electr. Eng., Columbia Univ., New York, NY, USA

Volume

11

Issue

1

fYear

2001

fDate

3/1/2001 12:00:00 AM

Firstpage

403

Lastpage

406

Abstract

A high temperature superconducting (HTS) spiral coil for magnetic resonance imaging (MRI) usually contains many turns of thin track patterned on an HTS film. The total length of the coil track is long (up to few meters) in order to meet the requirement of fitting the resonance frequency to that of the MRI scanner, in the range from 4 MHz (0.1 T of magnetic field) to about 100 MHz (high field). It takes too long time for commercially available software to simulate such circuits because of the relatively large size and small track width of the coil. A new computational frequency-domain model is developed for design and analysis of HTS spiral surface coils for application to MRI. The model is faster in the simulation of the resonance frequencies and s-parameters of the HTS spiral coils because some approximations are used for the coils with long track and low resonance frequency. The new model is based on the circuit analyses theory. The 2-inch coils were simulated for a field of 0.5 T. Tuning and matching are studied by using this model

Keywords

S-parameters; frequency-domain analysis; high-temperature superconductors; magnetic resonance imaging; superconducting coils; 0.1 to 0.5 T; 2 inch; 4 to 100 MHz; S-parameters; computer simulation; frequency domain circuit model; high temperature superconducting spiral coil; magnetic resonance imaging; resonance frequency; Circuit simulation; Computational modeling; High temperature superconductors; Magnetic fields; Magnetic films; Magnetic resonance imaging; Resonant frequency; Spirals; Superconducting coils; Superconducting films;

fLanguage

English

Journal_Title

Applied Superconductivity, IEEE Transactions on

Publisher

ieee

ISSN

1051-8223

Type

jour

DOI

10.1109/77.919368

Filename

919368