Simultaneous imaging of dual-frequency electrical conductivity using a combination of MREIT and MREPT

Hyung Joong Kim, Woo Chul Jeong, Saurav Z.K. Sajib, Min Oh Kim, Oh In Kwon, Eung Je Woo, Dong Hyun Kim

Research output: Contribution to journalArticlepeer-review

15 Citations (Scopus)

Abstract

Purpose To propose a single magnetic resonance scan conductivity imaging technique providing dual-frequency characteristics of tissue conductivity. Methods Using a modified spin-echo pulse sequence, the magnetic flux density induced by externally injected currents and the B1+ phase map with injected current effects removed were acquired simultaneously. The low-frequency conductivity was reconstructed from the measured magnetic flux density by the projected current density method, while the high-frequency conductivity was reconstructed using the B1+ maps. Three different conductivity phantoms were used to demonstrate low- and high-frequency conductivity characteristics. Results A conductivity spectrum at two frequencies was successfully acquired with the proposed scheme. Magnetic resonance electrical impedance tomography is advantageous for seeing an anomaly itself wrapped with a thin insulating membrane. In addition, if the membrane is porous, the membrane property can be quantitatively visualized with magnetic resonance electrical impedance tomography. Magnetic resonance electrical properties tomography does not detect such membranes, which enable it to probe things inside an insulating membrane. Conclusion Considering these pros and cons and also the fact that the conductivity of biological tissue changes with frequency, a dual-frequency conductivity imaging incorporating both magnetic resonance electrical impedance tomography and magnetic resonance electrical properties tomography in future animal and human experiments is suggested.

Original languageEnglish
Pages (from-to)200-208
Number of pages9
JournalMagnetic Resonance in Medicine
Volume71
Issue number1
DOIs
Publication statusPublished - 2014 Jan

All Science Journal Classification (ASJC) codes

  • Radiology Nuclear Medicine and imaging

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