Signal analysis and liver tumor discrimination by using a high-Tc SQUID-based low-field NMR system in hospital

Shu Hsien Liao, Jen Jie Chieh, Yen Ting Chou, Ming Wei Wang, Hsin Hsien Chen, Kai Wen Huang, Hong Chang Yang, Herng Er Horng

Research output: Contribution to journalArticle

Abstract

In this paper, a high-Tc SQUID-based nuclear magnetic resonance (NMR) spectrometer was set up in National Taiwan University Hospital to discriminate liver tumor. In order to overcome the surrounding noise, a four-layer Al shielded box and a cylindrical magnetic shield were employed to avoid the electromagnetic noise in the coils part and the SQUID part, respectively. For NMR measurement, the larmor frequency is varying with time due to the variation of static field in hospital. Therefore, the time-domain frequency adjusted average method guided by a fluxgate was used to correct the frequency variation and average the NMR signal in the time domain. For tumor discrimination, the T1 relaxation times of normal tissue and tumor tissue were demonstrated. Our high-Tc SQUID-based low-field MRI system shows the feasibility for biomedical application in a clinic environment.

Original languageEnglish
Article number7012140
JournalIEEE Transactions on Applied Superconductivity
Volume25
Issue number3
DOIs
Publication statusPublished - 2015 Jun 1

Fingerprint

signal analysis
SQUIDs
Signal analysis
liver
Liver
discrimination
Tumors
tumors
Nuclear magnetic resonance
nuclear magnetic resonance
Magnetic resonance spectrometers
Magnetic resonance measurement
Tissue
electromagnetic noise
Taiwan
Magnetic resonance imaging
Relaxation time
boxes
coils
relaxation time

Keywords

  • SQUID
  • Ultra-low-field NMR
  • liver tumor

ASJC Scopus subject areas

  • Electronic, Optical and Magnetic Materials
  • Condensed Matter Physics
  • Electrical and Electronic Engineering

Cite this

Signal analysis and liver tumor discrimination by using a high-Tc SQUID-based low-field NMR system in hospital. / Liao, Shu Hsien; Chieh, Jen Jie; Chou, Yen Ting; Wang, Ming Wei; Chen, Hsin Hsien; Huang, Kai Wen; Yang, Hong Chang; Horng, Herng Er.

In: IEEE Transactions on Applied Superconductivity, Vol. 25, No. 3, 7012140, 01.06.2015.

Research output: Contribution to journalArticle

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