MREIT conductivity imaging based on the local harmonic Bz algorithm: Animal experiments

Kiwan Jeon, Chang Ock Lee, Eung Je Woo, Hyung Joong Kim, Jin Keun Seo

Research output: Contribution to journalConference articlepeer-review

1 Citation (Scopus)

Abstract

From numerous numerical and phantom experiments, MREIT conductivity imaging based on harmonic Bz algorithm shows that it could be yet another useful medical imaging modality. However, in animal experiments, the conventional harmonic Bz algorithm gives poor results near boundaries of problematic regions such as bones, lungs, and gas-filled stomach, and the subject boundary where electrodes are not attached. Since the amount of injected current is low enough for the safety for in vivo animal, the measured B z data is defected by severe noise. In order to handle such problems, we use the recently developed local harmonic Bz algorithm to obtain conductivity images in our ROI(region of interest) without concerning the defected regions. Furthermore we adopt a denoising algorithm that preserves the ramp structure of Bz data, which informs of the location and size of anomaly. Incorporating these efficient techniques, we provide the conductivity imaging of post-mortem and in vivo animal experiments with high spatial resolution.

Original languageEnglish
Article number012079
JournalJournal of Physics: Conference Series
Volume224
Issue number1
DOIs
Publication statusPublished - 2010
Event14th International Conference on Electrical Bioimpedance, Held in Conjunction with the 11th Conference on Biomedical Applications of EIT, ICEBI and EIT 2010 - Gainesville, FL, United States
Duration: 2010 Apr 42010 Apr 8

All Science Journal Classification (ASJC) codes

  • Physics and Astronomy(all)

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