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 article

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 Jan 1
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

Fingerprint

animals
harmonics
conductivity
ramps (structures)
stomach
low currents
lungs
bones
safety
spatial resolution
anomalies
electrodes
high resolution
gases

All Science Journal Classification (ASJC) codes

  • Physics and Astronomy(all)

Cite this

Jeon, Kiwan ; Lee, Chang Ock ; Woo, Eung Je ; Kim, Hyung Joong ; Seo, Jin Keun. / MREIT conductivity imaging based on the local harmonic Bz algorithm : Animal experiments. In: Journal of Physics: Conference Series. 2010 ; Vol. 224, No. 1.
@article{50d420822c1a4169a1cbaac7157a55cb,
title = "MREIT conductivity imaging based on the local harmonic Bz algorithm: Animal experiments",
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.",
author = "Kiwan Jeon and Lee, {Chang Ock} and Woo, {Eung Je} and Kim, {Hyung Joong} and Seo, {Jin Keun}",
year = "2010",
month = "1",
day = "1",
doi = "10.1088/1742-6596/224/1/012079",
language = "English",
volume = "224",
journal = "Journal of Physics: Conference Series",
issn = "1742-6588",
publisher = "IOP Publishing Ltd.",
number = "1",

}

MREIT conductivity imaging based on the local harmonic Bz algorithm : Animal experiments. / Jeon, Kiwan; Lee, Chang Ock; Woo, Eung Je; Kim, Hyung Joong; Seo, Jin Keun.

In: Journal of Physics: Conference Series, Vol. 224, No. 1, 012079, 01.01.2010.

Research output: Contribution to journalConference article

TY - JOUR

T1 - MREIT conductivity imaging based on the local harmonic Bz algorithm

T2 - Animal experiments

AU - Jeon, Kiwan

AU - Lee, Chang Ock

AU - Woo, Eung Je

AU - Kim, Hyung Joong

AU - Seo, Jin Keun

PY - 2010/1/1

Y1 - 2010/1/1

N2 - 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.

AB - 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.

UR - http://www.scopus.com/inward/record.url?scp=77954676121&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=77954676121&partnerID=8YFLogxK

U2 - 10.1088/1742-6596/224/1/012079

DO - 10.1088/1742-6596/224/1/012079

M3 - Conference article

AN - SCOPUS:77954676121

VL - 224

JO - Journal of Physics: Conference Series

JF - Journal of Physics: Conference Series

SN - 1742-6588

IS - 1

M1 - 012079

ER -