Literature DB >> 23727587

MR measurement of alloy magnetic susceptibility: towards developing tissue-susceptibility matched metals.

Garrett W Astary1, Marcus K Peprah, Charles R Fisher, Rachel L Stewart, Paul R Carney, Malisa Sarntinoranont, Mark W Meisel, Michele V Manuel, Thomas H Mareci.   

Abstract

Magnetic resonance imaging (MRI) can be used to relate structure to function mapped with high-temporal resolution electrophysiological recordings using metal electrodes. Additionally, MRI may be used to guide the placement of electrodes or conductive cannula in the brain. However, the magnetic susceptibility mismatch between implanted metals and surrounding brain tissue can severely distort MR images and spectra, particularly in high magnetic fields. In this study, we present a modified MR method of characterizing the magnetic susceptibility of materials that can be used to develop biocompatible, metal alloys that match the susceptibility of host tissue in order to eliminate MR distortions proximal to the implant. This method was applied at 4.7T and 11.1T to measure the susceptibility of a model solid-solution alloy of Cu and Sn, which is inexpensive but not biocompatible. MR-derived relative susceptibility values of four different compositions of Cu-Sn alloy deviated by less than 3.1% from SQUID magnetometry absolute susceptibility measurements performed up to 7T. These results demonstrate that the magnetic susceptibility varies linearly with atomic percentage in these solid-solution alloys, but are not simply the weighted average of Cu and Sn magnetic susceptibilities. Therefore susceptibility measurements are necessary when developing susceptibility-matched, solid-solution alloys for the elimination of susceptibility artifacts in MR. This MR method does not require any specialized equipment and is free of geometrical constraints, such as sample shape requirements associated with SQUID magnetometry, so the method can be used at all stages of fabrication to guide the development of a susceptibility matched, biocompatible device.
Copyright © 2013 Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Alloys; Field mapping; Magnetic field perturbation; Magnetic resonance imaging; Magnetic susceptibility

Mesh:

Substances:

Year:  2013        PMID: 23727587      PMCID: PMC3774001          DOI: 10.1016/j.jmr.2013.05.002

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


  9 in total

1.  Rapid calculations of susceptibility-induced magnetostatic field perturbations for in vivo magnetic resonance.

Authors:  Kevin M Koch; Xenophon Papademetris; Douglas L Rothman; Robin A de Graaf
Journal:  Phys Med Biol       Date:  2006-11-27       Impact factor: 3.609

2.  A complex sum method of quantifying susceptibilities in cylindrical objects: the first step toward quantitative diagnosis of small objects in MRI.

Authors:  Yu-Chung N Cheng; Ching-Yi Hsieh; Jaladhar Neelavalli; Qiang Liu; Muhammad S Dawood; E Mark Haacke
Journal:  Magn Reson Imaging       Date:  2007-02-28       Impact factor: 2.546

3.  Phase gradient mapping as an aid in the analysis of object-induced and system-related phase perturbations in MRI.

Authors:  Chris J G Bakker; Hendrik de Leeuw; Koen L Vincken; Evert-Jan Vonken; Jeroen Hendrikse
Journal:  Phys Med Biol       Date:  2008-08-22       Impact factor: 3.609

4.  Methods for simultaneous EEG-fMRI: an introductory review.

Authors:  René J Huster; Stefan Debener; Tom Eichele; Christoph S Herrmann
Journal:  J Neurosci       Date:  2012-05-02       Impact factor: 6.167

5.  Susceptibility artifacts in 2DFT spin-echo and gradient-echo imaging: the cylinder model revisited.

Authors:  C J Bakker; R Bhagwandien; M A Moerland; M Fuderer
Journal:  Magn Reson Imaging       Date:  1993       Impact factor: 2.546

6.  Magnetic field perturbation of neural recording and stimulating microelectrodes.

Authors:  Francisco M Martinez-Santiesteban; Scott D Swanson; Douglas C Noll; David J Anderson
Journal:  Phys Med Biol       Date:  2007-03-23       Impact factor: 3.609

7.  Limitations of calculating field distributions and magnetic susceptibilities in MRI using a Fourier based method.

Authors:  Yu-Chung N Cheng; Jaladhar Neelavalli; E Mark Haacke
Journal:  Phys Med Biol       Date:  2009-01-30       Impact factor: 3.609

8.  Removing background phase variations in susceptibility-weighted imaging using a fast, forward-field calculation.

Authors:  Jaladhar Neelavalli; Yu-Chung N Cheng; Jing Jiang; E Mark Haacke
Journal:  J Magn Reson Imaging       Date:  2009-04       Impact factor: 4.813

9.  Simultaneous intracranial EEG-fMRI in humans: protocol considerations and data quality.

Authors:  D W Carmichael; S Vulliemoz; R Rodionov; J S Thornton; A W McEvoy; L Lemieux
Journal:  Neuroimage       Date:  2012-05-29       Impact factor: 6.556

  9 in total
  2 in total

1.  Influence of geometric and material properties on artifacts generated by interventional MRI devices: Relevance to PRF-shift thermometry.

Authors:  Ken Tatebe; Elizabeth Ramsay; Charles Mougenot; Mohammad Kazem; Hamed Peikari; Michael Bronskill; Rajiv Chopra
Journal:  Med Phys       Date:  2016-01       Impact factor: 4.071

2.  Development and evaluation of a numerical simulation approach to predict metal artifacts from passive implants in MRI.

Authors:  Tobias Spronk; Oliver Kraff; Jakob Kreutner; Gregor Schaefers; Harald H Quick
Journal:  MAGMA       Date:  2021-10-16       Impact factor: 2.533

  2 in total

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