Document Detail


Calculated signal-to-noise ratio of MRI detected with SQUIDs and Faraday detectors in fields from 10 microT to 1.5 T.
MedLine Citation:
PMID:  17337220     Owner:  NLM     Status:  MEDLINE    
Abstract/OtherAbstract:
We examine the calculated signal-to-noise ratio (SNR) achievable with different MRI detection modalities in precession fields ranging from 10 microT to 1.5 T. In particular, we compare traditional Faraday detectors with both tuned and untuned detectors based on superconducting quantum interference devices (SQUIDs). We derive general expressions for the magnetic field noise due to the samples and the detectors, and then calculate the SNR achievable for a specific geometry with each modality with and without prepolarization. We show that each of the three modalities is superior in one of the three field ranges. SQUID-based detection is superior to conventional Faraday detection for MRI in precession fields below 250 mT for a 65 mm diameter surface coil placed a distance of 25 mm from the voxel of interest embedded in a cylinder of tissue 50 mm tall and of radius 50 mm. This crossover field, however, is sensitive to the geometry.
Authors:
Whittier Myers; Daniel Slichter; Michael Hatridge; Sarah Busch; Michael Mössle; Robert McDermott; Andreas Trabesinger; John Clarke
Publication Detail:
Type:  Journal Article; Research Support, Non-U.S. Gov't; Research Support, U.S. Gov't, Non-P.H.S.     Date:  2007-02-13
Journal Detail:
Title:  Journal of magnetic resonance (San Diego, Calif. : 1997)     Volume:  186     ISSN:  1090-7807     ISO Abbreviation:  J. Magn. Reson.     Publication Date:  2007 Jun 
Date Detail:
Created Date:  2007-06-12     Completed Date:  2007-08-15     Revised Date:  -    
Medline Journal Info:
Nlm Unique ID:  9707935     Medline TA:  J Magn Reson     Country:  United States    
Other Details:
Languages:  eng     Pagination:  182-92     Citation Subset:  IM    
Affiliation:
Department of Physics, University of California, Berkeley, and Materials Sciences Division, Lawrence Berkeley National Laboratory, CA 94720, USA.
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MeSH Terms
Descriptor/Qualifier:
Magnetic Resonance Imaging / instrumentation*
Magnetics / instrumentation*

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