Implementation of high-temperature superconducting tapes RF coils for 3T MRI system

In Tsang Lin*, Chang Wei Hsieh, Li Wei Kuo, Hong Chang Yang, Ching Yao, Wei Hao Chang, Jyh Horng Chen

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

One way to reduce receiving coil noise in MRI scans is using non-resistive high-temperature superconducting (HTS) coils [1]. They show advantages of much lower cost and easier fabrication over HTS thin film coils. In this work, we built a 200mm in diameter Bi2Sr2Ca2Cu 3O5 (Bi-2223) tape HTS RF coil and demonstrated that the SNR of using the HTS tape coil was 2.22 folds higher than that of the traditional copper coil for a phantom MR study. Test results were in agreement with predictions, and the error of predicted SNR gains and measured SNR gains is about 0.9%. The HTS coil can be expected to generate higher SNR gain after optimization. In the future, in-vivo experiments will be conducted to farther test the capability of the HTS tape coil. Further applications functional MRI is under investigation to test the power of this HTSC system in our 3T system.

Original languageEnglish
Title of host publicationProceedings of the 2005 27th Annual International Conference of the Engineering in Medicine and Biology Society, IEEE-EMBS 2005
Pages7413-7416
Number of pages4
Publication statusPublished - 2005
Event2005 27th Annual International Conference of the Engineering in Medicine and Biology Society, IEEE-EMBS 2005 - Shanghai, China
Duration: 2005 Sept 12005 Sept 4

Publication series

NameAnnual International Conference of the IEEE Engineering in Medicine and Biology - Proceedings
Volume7 VOLS
ISSN (Print)0589-1019

Other

Other2005 27th Annual International Conference of the Engineering in Medicine and Biology Society, IEEE-EMBS 2005
Country/TerritoryChina
CityShanghai
Period2005/09/012005/09/04

Keywords

  • Bi-2223
  • HTS
  • MRI

ASJC Scopus subject areas

  • Signal Processing
  • Biomedical Engineering
  • Computer Vision and Pattern Recognition
  • Health Informatics

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