Conductivity and Current Density Image Reconstruction in MREIT using Harmonic Bz Algorithm and Recessed Electrodes

S. H. Oh, B. I. Lee, E. J. Woo, S. Y. Lee, M. H. Cho, O. Kwon, Jin Keun Seo, W. S. Baek

Research output: Contribution to journalConference article

Abstract

This paper presents cross-sectional conductivity and current density images of an inhomogeneous saline phantom. Using a 0.3 Tesla MRI scanner with its main magnetic field in the z-direction, we measured the z-component of the induced magnetic flux density Bz due to multiple injection currents. Four recessed electrodes are used to inject six different currents without producing artifacts near the boundary of the imaging subject. We used an image reconstruction algorithm called ∇2Bz algorithm to reconstruct images with a spatial resolution of 82×82 pixels (0.6×0.6 mm2/pixel). The accuracy of the reconstructed image was estimated as 13.8 to 21.5% in terms of the relative L2-error over all pixels.

Original languageEnglish
Pages (from-to)1023-1026
Number of pages4
JournalAnnual International Conference of the IEEE Engineering in Medicine and Biology - Proceedings
Volume2
Publication statusPublished - 2003 Dec 1
EventA New Beginning for Human Health: Proceddings of the 25th Annual International Conference of the IEEE Engineering in Medicine and Biology Society - Cancun, Mexico
Duration: 2003 Sep 172003 Sep 21

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Computer-Assisted Image Processing
Image reconstruction
Electrodes
Current density
Pixels
Magnetic Fields
Artifacts
Magnetic flux
Magnetic resonance imaging
Injections
Magnetic fields
Imaging techniques
Direction compound

All Science Journal Classification (ASJC) codes

  • Signal Processing
  • Biomedical Engineering
  • Computer Vision and Pattern Recognition
  • Health Informatics

Cite this

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title = "Conductivity and Current Density Image Reconstruction in MREIT using Harmonic Bz Algorithm and Recessed Electrodes",
abstract = "This paper presents cross-sectional conductivity and current density images of an inhomogeneous saline phantom. Using a 0.3 Tesla MRI scanner with its main magnetic field in the z-direction, we measured the z-component of the induced magnetic flux density Bz due to multiple injection currents. Four recessed electrodes are used to inject six different currents without producing artifacts near the boundary of the imaging subject. We used an image reconstruction algorithm called ∇2Bz algorithm to reconstruct images with a spatial resolution of 82×82 pixels (0.6×0.6 mm2/pixel). The accuracy of the reconstructed image was estimated as 13.8 to 21.5{\%} in terms of the relative L2-error over all pixels.",
author = "Oh, {S. H.} and Lee, {B. I.} and Woo, {E. J.} and Lee, {S. Y.} and Cho, {M. H.} and O. Kwon and Seo, {Jin Keun} and Baek, {W. S.}",
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Conductivity and Current Density Image Reconstruction in MREIT using Harmonic Bz Algorithm and Recessed Electrodes. / Oh, S. H.; Lee, B. I.; Woo, E. J.; Lee, S. Y.; Cho, M. H.; Kwon, O.; Seo, Jin Keun; Baek, W. S.

In: Annual International Conference of the IEEE Engineering in Medicine and Biology - Proceedings, Vol. 2, 01.12.2003, p. 1023-1026.

Research output: Contribution to journalConference article

TY - JOUR

T1 - Conductivity and Current Density Image Reconstruction in MREIT using Harmonic Bz Algorithm and Recessed Electrodes

AU - Oh, S. H.

AU - Lee, B. I.

AU - Woo, E. J.

AU - Lee, S. Y.

AU - Cho, M. H.

AU - Kwon, O.

AU - Seo, Jin Keun

AU - Baek, W. S.

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AB - This paper presents cross-sectional conductivity and current density images of an inhomogeneous saline phantom. Using a 0.3 Tesla MRI scanner with its main magnetic field in the z-direction, we measured the z-component of the induced magnetic flux density Bz due to multiple injection currents. Four recessed electrodes are used to inject six different currents without producing artifacts near the boundary of the imaging subject. We used an image reconstruction algorithm called ∇2Bz algorithm to reconstruct images with a spatial resolution of 82×82 pixels (0.6×0.6 mm2/pixel). The accuracy of the reconstructed image was estimated as 13.8 to 21.5% in terms of the relative L2-error over all pixels.

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