Simultaneous imaging of in vivo conductivity and susceptibility

Dong Hyun Kim, Narae Choi, Sung Min Gho, Jaewook Shin, Chunlei Liu

Research output: Contribution to journalArticlepeer-review

35 Citations (Scopus)

Abstract

Purpose Approaches for quantitative mapping of electric conductivity and magnetic susceptibility using MRI have been developed independently. The purpose of this study is to present a method to simultaneously acquire information on conductivity and susceptibility and to produce images based on these properties. Methods A 3D multiecho gradient-echo sequence was used. Phase evolution during the multiecho was used to produce quantitative susceptibility maps, while the phase value at zero echo time was retrieved, and used to generates quantitative conductivity maps. Electromagnetic simulations were performed to evaluate the phase distribution due to conductivity variations. Phantom and in vivo data were also acquired to assess the quality of images produced. Results Simulations demonstrated that phase differences across objects increases with size and conductivity. For an accurate conductivity estimate, the maximum echo time was approximately equal to the true T2* value in order to achieve signal-to-noise ratio maximization. The most accurate susceptibility was obtained when separating phase contribution from conductivity. Phantom and in vivo results showed good quality images representing the electromagnetic properties. Conclusion A simultaneous quantitative electromagnetic property imaging approach is demonstrated here. The approach not only improves the efficiency of mapping electromagnetic properties, but can also improve the accuracy of susceptibility mapping by separating image phases introduced by conductivity and susceptibility.

Original languageEnglish
Pages (from-to)1144-1150
Number of pages7
JournalMagnetic Resonance in Medicine
Volume71
Issue number3
DOIs
Publication statusPublished - 2014 Mar

All Science Journal Classification (ASJC) codes

  • Radiology Nuclear Medicine and imaging

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