A local region of interest imaging method for electrical impedance tomography with internal electrodes

Hyeuknam Kwon, Alistair L. McEwan, Tong In Oh, Adnan Farooq, Eung Je Woo, Jin Keun Seo

Research output: Contribution to journalArticle

11 Citations (Scopus)

Abstract

Electrical Impedance Tomography (EIT) is a very attractive functional imaging method despite the low sensitivity and resolution. The use of internal electrodes with the conventional reconstruction algorithms was not enough to enhance image resolution and accuracy in the region of interest (ROI). We propose a local ROI imaging method with internal electrodes developed from careful analysis of the sensitivity matrix that is designed to reduce the sensitivity of the voxels outside the local region and optimize the sensitivity of the voxel inside the local region. We perform numerical simulations and physical measurements to demonstrate the localized EIT imaging method. In preliminary results with multiple objects we show the benefits of using an internal electrode and the improved resolution due to the local ROI image reconstruction method. The sensitivity is further increased by allowing the surface electrodes to be unevenly spaced with a higher density of surface electrodes near the ROI. Also, we analyse how much the image quality is improved using several performance parameters for comparison. While these have not yet been studied in depth, it convincingly shows an improvement in local sensitivity in images obtained with an internal electrode in comparison to a standard reconstruction method.

Original languageEnglish
Article number964918
JournalComputational and Mathematical Methods in Medicine
Volume2013
DOIs
Publication statusPublished - 2013 Aug 5

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Electrical Impedance Tomography
Acoustic impedance
Region of Interest
Electric Impedance
Electrode
Tomography
Electrodes
Imaging
Internal
Imaging techniques
Voxel
Computer-Assisted Image Processing
Reconstruction Algorithm
Image Reconstruction
Image resolution
Image reconstruction
Image Quality
Image quality
Optimise
Numerical Simulation

All Science Journal Classification (ASJC) codes

  • Modelling and Simulation
  • Biochemistry, Genetics and Molecular Biology(all)
  • Immunology and Microbiology(all)
  • Applied Mathematics

Cite this

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abstract = "Electrical Impedance Tomography (EIT) is a very attractive functional imaging method despite the low sensitivity and resolution. The use of internal electrodes with the conventional reconstruction algorithms was not enough to enhance image resolution and accuracy in the region of interest (ROI). We propose a local ROI imaging method with internal electrodes developed from careful analysis of the sensitivity matrix that is designed to reduce the sensitivity of the voxels outside the local region and optimize the sensitivity of the voxel inside the local region. We perform numerical simulations and physical measurements to demonstrate the localized EIT imaging method. In preliminary results with multiple objects we show the benefits of using an internal electrode and the improved resolution due to the local ROI image reconstruction method. The sensitivity is further increased by allowing the surface electrodes to be unevenly spaced with a higher density of surface electrodes near the ROI. Also, we analyse how much the image quality is improved using several performance parameters for comparison. While these have not yet been studied in depth, it convincingly shows an improvement in local sensitivity in images obtained with an internal electrode in comparison to a standard reconstruction method.",
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A local region of interest imaging method for electrical impedance tomography with internal electrodes. / Kwon, Hyeuknam; McEwan, Alistair L.; Oh, Tong In; Farooq, Adnan; Woo, Eung Je; Seo, Jin Keun.

In: Computational and Mathematical Methods in Medicine, Vol. 2013, 964918, 05.08.2013.

Research output: Contribution to journalArticle

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AU - Seo, Jin Keun

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