Literature DB >> 21747638

SQUIDs vs. Induction Coils for Ultra-Low Field Nuclear Magnetic Resonance: Experimental and Simulation Comparison.

Andrei N Matlashov1, Larry J Schultz, Michelle A Espy, Robert H Kraus, Igor M Savukov, Petr L Volegov, Caroline J Wurden.   

Abstract

Nuclear magnetic resonance (NMR) is widely used in medicine, chemistry and industry. One application area is magnetic resonance imaging (MRI). Recently it has become possible to perform NMR and MRI in the ultra-low field (ULF) regime requiring measurement field strengths of the order of only 1 Gauss. This technique exploits the advantages offered by superconducting quantum interference devices or SQUIDs. Our group has built SQUID based MRI systems for brain imaging and for liquid explosives detection at airport security checkpoints. The requirement for liquid helium cooling limits potential applications of ULF MRI for liquid identification and security purposes. Our experimental comparative investigation shows that room temperature inductive magnetometers may provide enough sensitivity in the 3-10 kHz range and can be used for fast liquid explosives detection based on ULF NMR technique. We describe experimental and computer-simulation results comparing multichannel SQUID based and induction coils based instruments that are capable of performing ULF MRI for liquid identification.

Entities:  

Year:  2011        PMID: 21747638      PMCID: PMC3131692          DOI: 10.1109/TASC.2010.2089402

Source DB:  PubMed          Journal:  IEEE Trans Appl Supercond


  7 in total

1.  Liquid-state NMR and scalar couplings in microtesla magnetic fields.

Authors:  Robert McDermott; Andreas H Trabesinger; Michael Muck; Erwin L Hahn; Alexander Pines; John Clarke
Journal:  Science       Date:  2002-03-22       Impact factor: 47.728

2.  Microtesla MRI with a superconducting quantum interference device.

Authors:  Robert McDermott; SeungKyun Lee; Bennie ten Haken; Andreas H Trabesinger; Alexander Pines; John Clarke
Journal:  Proc Natl Acad Sci U S A       Date:  2004-05-12       Impact factor: 11.205

3.  SQUID-detected MRI at 132 microT with T1-weighted contrast established at 10 microT--300 mT.

Authors:  Seung Kyun Lee; Michael Mössle; Whittier Myers; Nathan Kelso; Andreas H Trabesinger; Alexander Pines; John Clarke
Journal:  Magn Reson Med       Date:  2005-01       Impact factor: 4.668

4.  Ultra-low field NMR measurements of liquids and gases with short relaxation times.

Authors:  P L Volegov; A N Matlachov; R H Kraus
Journal:  J Magn Reson       Date:  2006-09-01       Impact factor: 2.229

5.  Calculated signal-to-noise ratio of MRI detected with SQUIDs and Faraday detectors in fields from 10 microT to 1.5 T.

Authors:  Whittier Myers; Daniel Slichter; Michael Hatridge; Sarah Busch; Michael Mössle; Robert McDermott; Andreas Trabesinger; John Clarke
Journal:  J Magn Reson       Date:  2007-02-13       Impact factor: 2.229

6.  Microtesla MRI of the human brain combined with MEG.

Authors:  Vadim S Zotev; Andrei N Matlashov; Petr L Volegov; Igor M Savukov; Michelle A Espy; John C Mosher; John J Gomez; Robert H Kraus
Journal:  J Magn Reson       Date:  2008-06-21       Impact factor: 2.229

7.  Novel approaches to low-cost MRI.

Authors:  A Macovski; S Conolly
Journal:  Magn Reson Med       Date:  1993-08       Impact factor: 4.668

  7 in total
  5 in total

1.  Low-field MRI can be more sensitive than high-field MRI.

Authors:  Aaron M Coffey; Milton L Truong; Eduard Y Chekmenev
Journal:  J Magn Reson       Date:  2013-10-31       Impact factor: 2.229

2.  Towards ultimate low frequency air-core magnetometer sensitivity.

Authors:  Ruben Pellicer-Guridi; Michael W Vogel; David C Reutens; Viktor Vegh
Journal:  Sci Rep       Date:  2017-05-23       Impact factor: 4.379

3.  Development of a Rigid One-Meter-Side and Cooled Coil Sensor at 77 K for Magnetic Resonance Sounding to Detect Subsurface Water Sources.

Authors:  Jun Lin; Guanfeng Du; Jian Zhang; Xiaofeng Yi; Chuandong Jiang; Tingting Lin
Journal:  Sensors (Basel)       Date:  2017-06-12       Impact factor: 3.576

4.  Remote IoT Education Laboratory for Microcontrollers Based on the STM32 Chips.

Authors:  Patrik Jacko; Matej Bereš; Irena Kováčová; Ján Molnár; Tibor Vince; Jozef Dziak; Branislav Fecko; Šimon Gans; Dobroslav Kováč
Journal:  Sensors (Basel)       Date:  2022-02-13       Impact factor: 3.576

5.  Design of a Matching Network for a High-Sensitivity Broadband Magnetic Resonance Sounding Coil Sensor.

Authors:  Yang Zhang; Fei Teng; Suhang Li; Ling Wan; Tingting Lin
Journal:  Sensors (Basel)       Date:  2017-10-27       Impact factor: 3.576

  5 in total

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