Investigative Magnetic Resonance Imaging

Korean Society of Magnetic Resonance in Medicine (대한자기공명의과학회)
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Efficient Experimental Design for Measuring Magnetic Susceptibility of Arbitrarily Shaped Materials by MRI

  • Hwang, Seon-ha (Department of Biomedical Engineering, Sungkyunkwan University) ;
  • Lee, Seung-Kyun (Center of Neuroscience Imaging Research, Institute for Basic Science)
  • Received : 2018.04.05
  • Accepted : 2018.08.17
  • Published : 2018.09.30
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Abstract

Purpose: The purpose of this study is to develop a simple method to measure magnetic susceptibility of arbitrarily shaped materials through MR imaging and numerical modeling. Materials and Methods: Our 3D printed phantom consists of a lower compartment filled with a gel (gel part) and an upper compartment for placing a susceptibility object (object part). The $B_0$ maps of the gel with and without the object were reconstructed from phase images obtained in a 3T MRI scanner. Then, their difference was compared with a numerically modeled $B_0$ map based on the geometry of the object, obtained by a separate MRI scan of the object possibly immersed in an MR-visible liquid. The susceptibility of the object was determined by a least-squares fit. Results: A total of 18 solid and liquid samples were tested, with measured susceptibility values in the range of -12.6 to 28.28 ppm. To confirm accuracy of the method, independently obtained reference values were compared with measured susceptibility when possible. The comparison revealed that our method can determine susceptibility within approximately 5%, likely limited by the object shape modeling error. Conclusion: The proposed gel-phantom-based susceptibility measurement may be used to effectively measure magnetic susceptibility of MR-compatible samples with an arbitrary shape, and can enable development of various MR engineering parts as well as test biological tissue specimens.

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References

  1. Schenck JF. The role of magnetic susceptibility in magnetic resonance imaging: MRI magnetic compatibility of the first and second kinds. Med Phys 1996;23:815-850 https://doi.org/10.1118/1.597854
  2. Schwartz B. Superconductor applications: SQUIDs and machines. Springer Science & Business Media New York: Springer US, 2013
  3. MPMS 3 Product Description; Available from: https:// www.qdusa.com/sitedocs/productBrochures/1500-102.pdf. Accessed September 8, 2018
  4. Wapler MC, Leupold J, Dragonu I, von Elverfeld D, Zaitsev M, Wallrabe U. Magnetic properties of materials for MR engineering, micro-MR and beyond. J Magn Reson 2014;242:233-242 https://doi.org/10.1016/j.jmr.2014.02.005
  5. Neelavalli J, Cheng YC, Haacke EM. A fast and robust method for quantifying magnetic susceptibility of arbitrarily shaped objects using MR. Proc Intl Soc Mag Reson Med 2008;16:3056
  6. Yoder DA, Zhao Y, Paschal CB, Fitzpatrick JM. MRI simulator with object-specific field map calculations. Magn Reson Imaging 2004;22:315-328 https://doi.org/10.1016/j.mri.2003.10.001
  7. Lee SK, Hwang SH, Barg JS, Yeo SJ. Rapid, theoretically artifact-free calculation of static magnetic field induced by voxelated susceptibility distribution in an arbitrary volume of interest. Magn Reson Med 2018;80:2109-2121 https://doi.org/10.1002/mrm.27161
  8. Chu SC, Xu Y, Balschi JA, Springer CS Jr. Bulk magnetic susceptibility shifts in NMR studies of compartmentalized samples: use of paramagnetic reagents. Magn Reson Med 1990;13:239-262 https://doi.org/10.1002/mrm.1910130207
  9. Joe E, Ghim MO, Ha Y, Kim DH. Accurate localization of metal electrodes using magnetic resonance imaging. J Korean Soc Magn Reson Med 2011;15:11-21 https://doi.org/10.13104/jksmrm.2011.15.1.11
  10. Czervionke LF, Daniels DL, Wehrli FW, et al. Magnetic susceptibility artifacts in gradient-recalled echo MR imaging. AJNR Am J Neuroradiol 1988;9:1149-1155
  11. Astary GW, Peprah MK, Fisher CR, et al. MR measurement of alloy magnetic susceptibility: towards developing tissue- susceptibility matched metals. J Magn Reson 2013;233:49- 55 https://doi.org/10.1016/j.jmr.2013.05.002
  12. Park SH, Nam Y, Choi HS, Woo ST. Quantification of gadolinium concentration using GRE and UTE sequences. Investig Magn Reson Imaging 2017;21:171-176 https://doi.org/10.13104/imri.2017.21.3.171

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