Literature DB >> 15324752

SQUID detected NMR in microtesla magnetic fields.

Andrei N Matlachov1, Petr L Volegov, Michelle A Espy, John S George, Robert H Kraus.   

Abstract

We have built an NMR system that employs a superconducting quantum interference device (SQUID) detector and operates in measurement fields of 2-25 microT. The system uses a pre-polarizing field from 4 to 30 mT generated by simple room-temperature wire-wound coils that are turned off during measurements. The instrument has an open geometry with samples located outside the cryostat at room-temperature. This removes constraints on sample size and allows us to obtain signals from living tissue. We have obtained 1H NMR spectra from a variety of samples including water, mineral oil, and a live frog. We also acquired gradient encoded free induction decay (FID) data from a water-plastic phantom in the microT regime, from which simple projection images were reconstructed. NMR signals from samples inside metallic containers have also been acquired. This is possible because the penetration skin depth is much greater at the low operating frequencies of this system than for conventional systems. Advantages to ultra-low field NMR measurements include lower susceptibility artifacts caused by high strength polarizing and measurement fields, and negligible line width broadening due to measurement field inhomogeneity, reducing the burden of producing highly homogeneous fields.

Entities:  

Mesh:

Year:  2004        PMID: 15324752     DOI: 10.1016/j.jmr.2004.05.015

Source DB:  PubMed          Journal:  J Magn Reson        ISSN: 1090-7807            Impact factor:   2.229


  10 in total

1.  Brain imaging: fMRI 2.0.

Authors:  Kerri Smith
Journal:  Nature       Date:  2012-04-04       Impact factor: 49.962

2.  Image artifacts in very low magnetic field MRI: the role of concomitant gradients.

Authors:  Dmitriy A Yablonskiy; Alexander L Sukstanskii; Joseph J H Ackerman
Journal:  J Magn Reson       Date:  2005-06       Impact factor: 2.229

3.  Modeling direct effects of neural current on MRI.

Authors:  Leon Heller; Benjamin E Barrowes; John S George
Journal:  Hum Brain Mapp       Date:  2009-01       Impact factor: 5.038

4.  Parallel MRI at microtesla fields.

Authors:  Vadim S Zotev; Petr L Volegov; Andrei N Matlashov; Michelle A Espy; John C Mosher; Robert H Kraus
Journal:  J Magn Reson       Date:  2008-03-06       Impact factor: 2.229

5.  Stimulus-induced Rotary Saturation (SIRS): a potential method for the detection of neuronal currents with MRI.

Authors:  Thomas Witzel; Fa-Hsuan Lin; Bruce R Rosen; Lawrence L Wald
Journal:  Neuroimage       Date:  2008-05-20       Impact factor: 6.556

6.  MRI of the human brain at 130 microtesla.

Authors:  Ben Inglis; Kai Buckenmaier; Paul Sangiorgio; Anders F Pedersen; Matthew A Nichols; John Clarke
Journal:  Proc Natl Acad Sci U S A       Date:  2013-11-19       Impact factor: 11.205

Review 7.  Intrinsic therapeutic applications of noble metal nanoparticles: past, present and future.

Authors:  Rochelle R Arvizo; Sanjib Bhattacharyya; Rachel A Kudgus; Karuna Giri; Resham Bhattacharya; Priyabrata Mukherjee
Journal:  Chem Soc Rev       Date:  2012-03-05       Impact factor: 54.564

8.  Noise amplification in parallel whole-head ultra-low-field magnetic resonance imaging using 306 detectors.

Authors:  Fa-Hsuan Lin; Panu T Vesanen; Jaakko O Nieminen; Yi-Cheng Hsu; Koos C J Zevenhoven; Juhani Dabek; Lauri T Parkkonen; Andrey Zhdanov; Risto J Ilmoniemi
Journal:  Magn Reson Med       Date:  2012-09-28       Impact factor: 4.668

9.  Microtesla MRI with dynamic nuclear polarization.

Authors:  Vadim S Zotev; Tuba Owens; Andrei N Matlashov; Igor M Savukov; John J Gomez; Michelle A Espy
Journal:  J Magn Reson       Date:  2010-08-24       Impact factor: 2.229

10.  Rotatable Small Permanent Magnet Array for Ultra-Low Field Nuclear Magnetic Resonance Instrumentation: A Concept Study.

Authors:  Michael W Vogel; Andrea Giorni; Viktor Vegh; Ruben Pellicer-Guridi; David C Reutens
Journal:  PLoS One       Date:  2016-06-06       Impact factor: 3.240

  10 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.