Literature DB >> 23023497

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

Fa-Hsuan Lin1, Panu T Vesanen, Jaakko O Nieminen, Yi-Cheng Hsu, Koos C J Zevenhoven, Juhani Dabek, Lauri T Parkkonen, Andrey Zhdanov, Risto J Ilmoniemi.   

Abstract

In ultra-low-field magnetic resonance imaging, arrays of up to hundreds of highly sensitive superconducting quantum interference devices (SQUIDs) can be used to detect the weak magnetic fields emitted by the precessing magnetization. Here, we investigate the noise amplification in sensitivity-encoded ultra-low-field MRI at various acceleration rates using a SQUID array consisting of 102 magnetometers, 102 gradiometers, or 306 magnetometers and gradiometers, to cover the whole head. Our results suggest that SQUID arrays consisting of 102 magnetometers and 102 gradiometers are similar in g-factor distribution. A SQUID array of 306 sensors (102 magnetometers and 204 gradiometers) only marginally improves the g-factor. Corroborating with previous studies, the g-factor in 2D sensitivity-encoded ultra-low-field MRI with 9 to 16-fold 2D accelerations using the SQUID array studied here may be acceptable.
© 2012 Wiley Periodicals, Inc.

Entities:  

Keywords:  MEG-MRI; SENSE; conjugated gradient; g-factor; magnetoencephalography; parallel MRI; ultra-low-field MRI

Mesh:

Year:  2012        PMID: 23023497      PMCID: PMC3706472          DOI: 10.1002/mrm.24479

Source DB:  PubMed          Journal:  Magn Reson Med        ISSN: 0740-3194            Impact factor:   4.668


  24 in total

1.  SENSE: sensitivity encoding for fast MRI.

Authors:  K P Pruessmann; M Weiger; M B Scheidegger; P Boesiger
Journal:  Magn Reson Med       Date:  1999-11       Impact factor: 4.668

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.  Electrodynamics and ultimate SNR in parallel MR imaging.

Authors:  Florian Wiesinger; Peter Boesiger; Klaas P Pruessmann
Journal:  Magn Reson Med       Date:  2004-08       Impact factor: 4.668

4.  SQUID detected NMR in microtesla magnetic fields.

Authors:  Andrei N Matlachov; Petr L Volegov; Michelle A Espy; John S George; Robert H Kraus
Journal:  J Magn Reson       Date:  2004-09       Impact factor: 2.229

5.  The NMR phased array.

Authors:  P B Roemer; W A Edelstein; C E Hayes; S P Souza; O M Mueller
Journal:  Magn Reson Med       Date:  1990-11       Impact factor: 4.668

6.  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

7.  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

8.  Parallel imaging performance as a function of field strength--an experimental investigation using electrodynamic scaling.

Authors:  Florian Wiesinger; Pierre-Francois Van de Moortele; Gregor Adriany; Nicola De Zanche; Kamil Ugurbil; Klaas P Pruessmann
Journal:  Magn Reson Med       Date:  2004-11       Impact factor: 4.668

9.  Simultaneous acquisition of spatial harmonics (SMASH): fast imaging with radiofrequency coil arrays.

Authors:  D K Sodickson; W J Manning
Journal:  Magn Reson Med       Date:  1997-10       Impact factor: 4.668

10.  Hybrid ultra-low-field MRI and magnetoencephalography system based on a commercial whole-head neuromagnetometer.

Authors:  Panu T Vesanen; Jaakko O Nieminen; Koos C J Zevenhoven; Juhani Dabek; Lauri T Parkkonen; Andrey V Zhdanov; Juho Luomahaara; Juha Hassel; Jari Penttilä; Juha Simola; Antti I Ahonen; Jyrki P Mäkelä; Risto J Ilmoniemi
Journal:  Magn Reson Med       Date:  2012-07-17       Impact factor: 4.668

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  1 in total

1.  Beamformer source analysis and connectivity on concurrent EEG and MEG data during voluntary movements.

Authors:  Muthuraman Muthuraman; Helge Hellriegel; Nienke Hoogenboom; Abdul Rauf Anwar; Kidist Gebremariam Mideksa; Holger Krause; Alfons Schnitzler; Günther Deuschl; Jan Raethjen
Journal:  PLoS One       Date:  2014-03-11       Impact factor: 3.240

  1 in total

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