Literature DB >> 16310385

SQUID-detected microtesla MRI in the presence of metal.

Michael Mössle1, Song-I Han, Whittier R Myers, Seung-Kyun Lee, Nathan Kelso, Michael Hatridge, Alexander Pines, John Clarke.   

Abstract

In magnetic resonance imaging performed at fields of 1 T and above, the presence of a metal insert can distort the image because of susceptibility differences within the sample and modification of the radiofrequency fields by screening currents. Furthermore, it is not feasible to perform nuclear magnetic resonance (NMR) spectroscopy or acquire a magnetic resonance image if the sample is enclosed in a metal container. Both problems can be overcome by substantially lowering the NMR frequency. Using a microtesla imaging system operating at 2.8 kHz, with a superconducting quantum interference device as the signal detector, we have obtained distortion-free images of a phantom containing a titanium bar and three-dimensional images of an object enclosed in an aluminum can; in both cases high-field images are inaccessible.

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Year:  2005        PMID: 16310385     DOI: 10.1016/j.jmr.2005.11.005

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


  9 in total

1.  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

2.  Volume-selective magnetic resonance imaging using an adjustable, single-sided, portable sensor.

Authors:  Jeffrey L Paulsen; Louis S Bouchard; Dominic Graziani; Bernhard Blümich; Alexander Pines
Journal:  Proc Natl Acad Sci U S A       Date:  2008-12-17       Impact factor: 11.205

3.  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

4.  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

5.  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

6.  Multi-flux-transformer MRI detection with an atomic magnetometer.

Authors:  Igor Savukov; Todor Karaulanov
Journal:  J Magn Reson       Date:  2014-10-18       Impact factor: 2.229

7.  Suppressing multi-channel ultra-low-field MRI measurement noise using data consistency and image sparsity.

Authors:  Fa-Hsuan Lin; Panu T Vesanen; Yi-Cheng Hsu; Jaakko O Nieminen; Koos C J Zevenhoven; Juhani Dabek; Lauri T Parkkonen; Juha Simola; Antti I Ahonen; Risto J Ilmoniemi
Journal:  PLoS One       Date:  2013-04-23       Impact factor: 3.240

8.  SQUID-based detection of ultra-low-field multinuclear NMR of substances hyperpolarized using signal amplification by reversible exchange.

Authors:  K Buckenmaier; M Rudolph; C Back; T Misztal; U Bommerich; P Fehling; D Koelle; R Kleiner; H A Mayer; K Scheffler; J Bernarding; M Plaumann
Journal:  Sci Rep       Date:  2017-10-18       Impact factor: 4.379

9.  Chemical Reaction Monitoring using Zero-Field Nuclear Magnetic Resonance Enables Study of Heterogeneous Samples in Metal Containers.

Authors:  Dudari B Burueva; James Eills; John W Blanchard; Antoine Garcon; Román Picazo-Frutos; Kirill V Kovtunov; Igor V Koptyug; Dmitry Budker
Journal:  Angew Chem Int Ed Engl       Date:  2020-07-24       Impact factor: 15.336

  9 in total

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