Noninvasive imaging of bioimpedance distribution by means of current reconstruction magnetic resonance electrical impedance tomography

Nuo Gao, Bin He

Research output: Contribution to journalArticlepeer-review

23 Scopus citations

Abstract

We have developed a novel magnetic resonance electrical impedance tomography (MREIT) algorithm - current reconstruction MREIT algorithm - for noninvasive imaging of electrical impedance distribution of a biological system using only one component of magnetic flux density. The newly proposed algorithm uses the inverse of Biot-Savart Law to reconstruct the current density distribution, and then, uses a modified J-substitution algorithm to reconstruct the conductivity image. A series of computer simulations has been conducted to evaluate the performance of the proposed current reconstruction MREIT algorithm with simulation settings for breast cancer imaging applications, with consideration of measurement noise, current injection strength, size of simulated tumors, spatial resolution, and position dependency. The present simulation results are highly promising, demonstrating the high spatial resolution, high accuracy in conductivity reconstruction, and robustness against noise of the proposed algorithm for imaging electrical impedance of a biological system. The present MREIT method may have potential applications to breast cancer imaging and imaging of other organs.

Original languageEnglish (US)
Pages (from-to)1530-1538
Number of pages9
JournalIEEE Transactions on Biomedical Engineering
Volume55
Issue number5
DOIs
StatePublished - May 2008

Bibliographical note

Funding Information:
Manuscript received March 20, 2007, revised July 24, 2007. This work was supported in part by the National Science Foundation (NSF) under Grant BES-0602957, Grant BES-0411898, and Grant BES-0411480, and in part by the National Institute of Health (NIH) under Grant R01EB00178. This work was done in the Department of Biomedical Engineering, University of Minnesota, Minneapolis Asterisk indicates the corresponding author.

Keywords

  • Breast cancer detection
  • Conductivity
  • Current density
  • Magnetic resonance electrical impedance tomography (MREIT)

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