J-substitution algorithm in magnetic resonance electrical impedance tomography (MREIT): Phantom experiments for static resistivity images

Hyun Soo Khang; Byung Il Lee; Suk Hoon Oh; Eung Je Woo; Soo Yeol Lee; Min Hyoung Cho; Ohin Kwon; Jeong Rock Yoon; Jin Keun Seo

doi:10.1109/TMI.2002.800604

J-substitution algorithm in magnetic resonance electrical impedance tomography (MREIT): Phantom experiments for static resistivity images

Hyun Soo Khang, Byung Il Lee, Suk Hoon Oh, Eung Je Woo, Soo Yeol Lee, Min Hyoung Cho, Ohin Kwon, Jeong Rock Yoon, Jin Keun Seo

Department of Computational Science and Engineering

Research output: Contribution to journal › Article › peer-review

110 Citations (Scopus)

Abstract

Recently, a new static resistivity image reconstruction algorithm is proposed utilizing internal current density data obtained by magnetic resonance current density imaging technique. This new imaging method is called magnetic resonance electrical impedance tomography (MREIT). The derivation and performance of J-substitution algorithm in MREIT have been reported as a new accurate and high-resolution static impedance imaging technique via computer simulation methods. In this paper, we present experimental procedures, denoising techniques, and image reconstructions using a 0.3-tesla (T) experimental MREIT system and saline phantoms. MREIT using J-substitution algorithm effectively utilizes the internal current density information resolving the problem inherent in a conventional EIT, that is, the low sensitivity of boundary measurements to any changes of internal tissue resistivity values. Resistivity images of saline phantoms show an accuracy of 6.8%-47.2% and spatial resolution of 64 × 64. Both of them can be significantly improved by using an MRI system with a better signal-to-noise ratio.

Original language	English
Pages (from-to)	695-702
Number of pages	8
Journal	IEEE Transactions on Medical Imaging
Volume	21
Issue number	6
DOIs	https://doi.org/10.1109/TMI.2002.800604
Publication status	Published - 2002 Jun

Bibliographical note

Funding Information:
Manuscript received August 23, 2001; revised February 22, 2002. This work was supported by the Korea Science & Engineering Foundation under Grant no. R01-2000-00385. Asterisk indicates corresponding author. H. S. Khang, S. H. Oh, S. Y. Lee and M. H. Cho are with the Graduate School of East–West Medical Sciences, Kyung Hee University, Kyungki 449-701, S. Korea. B. I. Lee is with the College of Electronics and Information, Kyung Hee University, Kyungki 449-701, S. Korea. *E. J. Woo is with the College of Electronics and Information, Kyung Hee University, 1 Seochun, Kiheung, Yongin, Kyungki, 449-701, S. Korea (e-mail: [email protected]). O. Kwon is with the Department of Mathematics, Konkuk University, Korea. J. R. Yoon is with the School of Mathematics, Korea Institute for Advanced Study, Korea. J. K. Seo is with the Department of Mathematics, Yonsei University, Korea. Publisher Item Identifier 10.1109/TMI.2002.800604.

All Science Journal Classification (ASJC) codes

Software
Radiological and Ultrasound Technology
Computer Science Applications
Electrical and Electronic Engineering

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10.1109/TMI.2002.800604

Cite this

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title = "J-substitution algorithm in magnetic resonance electrical impedance tomography (MREIT): Phantom experiments for static resistivity images",

abstract = "Recently, a new static resistivity image reconstruction algorithm is proposed utilizing internal current density data obtained by magnetic resonance current density imaging technique. This new imaging method is called magnetic resonance electrical impedance tomography (MREIT). The derivation and performance of J-substitution algorithm in MREIT have been reported as a new accurate and high-resolution static impedance imaging technique via computer simulation methods. In this paper, we present experimental procedures, denoising techniques, and image reconstructions using a 0.3-tesla (T) experimental MREIT system and saline phantoms. MREIT using J-substitution algorithm effectively utilizes the internal current density information resolving the problem inherent in a conventional EIT, that is, the low sensitivity of boundary measurements to any changes of internal tissue resistivity values. Resistivity images of saline phantoms show an accuracy of 6.8%-47.2% and spatial resolution of 64 × 64. Both of them can be significantly improved by using an MRI system with a better signal-to-noise ratio.",

keywords = "Internal current density, J-substitution algorithm, Magnetic resonance electrical impedance tomography (MREIT), Resistivity image",

author = "Khang, {Hyun Soo} and Lee, {Byung Il} and Oh, {Suk Hoon} and Woo, {Eung Je} and Lee, {Soo Yeol} and Cho, {Min Hyoung} and Ohin Kwon and Yoon, {Jeong Rock} and Seo, {Jin Keun}",

note = "Funding Information: Manuscript received August 23, 2001; revised February 22, 2002. This work was supported by the Korea Science & Engineering Foundation under Grant no. R01-2000-00385. Asterisk indicates corresponding author. H. S. Khang, S. H. Oh, S. Y. Lee and M. H. Cho are with the Graduate School of East–West Medical Sciences, Kyung Hee University, Kyungki 449-701, S. Korea. B. I. Lee is with the College of Electronics and Information, Kyung Hee University, Kyungki 449-701, S. Korea. *E. J. Woo is with the College of Electronics and Information, Kyung Hee University, 1 Seochun, Kiheung, Yongin, Kyungki, 449-701, S. Korea (e-mail: [email protected]). O. Kwon is with the Department of Mathematics, Konkuk University, Korea. J. R. Yoon is with the School of Mathematics, Korea Institute for Advanced Study, Korea. J. K. Seo is with the Department of Mathematics, Yonsei University, Korea. Publisher Item Identifier 10.1109/TMI.2002.800604.",

year = "2002",

month = jun,

doi = "10.1109/TMI.2002.800604",

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AU - Woo, Eung Je

AU - Lee, Soo Yeol

AU - Cho, Min Hyoung

AU - Kwon, Ohin

AU - Yoon, Jeong Rock

AU - Seo, Jin Keun

N1 - Funding Information: Manuscript received August 23, 2001; revised February 22, 2002. This work was supported by the Korea Science & Engineering Foundation under Grant no. R01-2000-00385. Asterisk indicates corresponding author. H. S. Khang, S. H. Oh, S. Y. Lee and M. H. Cho are with the Graduate School of East–West Medical Sciences, Kyung Hee University, Kyungki 449-701, S. Korea. B. I. Lee is with the College of Electronics and Information, Kyung Hee University, Kyungki 449-701, S. Korea. *E. J. Woo is with the College of Electronics and Information, Kyung Hee University, 1 Seochun, Kiheung, Yongin, Kyungki, 449-701, S. Korea (e-mail: [email protected]). O. Kwon is with the Department of Mathematics, Konkuk University, Korea. J. R. Yoon is with the School of Mathematics, Korea Institute for Advanced Study, Korea. J. K. Seo is with the Department of Mathematics, Yonsei University, Korea. Publisher Item Identifier 10.1109/TMI.2002.800604.

PY - 2002/6

Y1 - 2002/6

N2 - Recently, a new static resistivity image reconstruction algorithm is proposed utilizing internal current density data obtained by magnetic resonance current density imaging technique. This new imaging method is called magnetic resonance electrical impedance tomography (MREIT). The derivation and performance of J-substitution algorithm in MREIT have been reported as a new accurate and high-resolution static impedance imaging technique via computer simulation methods. In this paper, we present experimental procedures, denoising techniques, and image reconstructions using a 0.3-tesla (T) experimental MREIT system and saline phantoms. MREIT using J-substitution algorithm effectively utilizes the internal current density information resolving the problem inherent in a conventional EIT, that is, the low sensitivity of boundary measurements to any changes of internal tissue resistivity values. Resistivity images of saline phantoms show an accuracy of 6.8%-47.2% and spatial resolution of 64 × 64. Both of them can be significantly improved by using an MRI system with a better signal-to-noise ratio.

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KW - Resistivity image

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JO - IEEE Transactions on Medical Imaging

JF - IEEE Transactions on Medical Imaging

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ER -

J-substitution algorithm in magnetic resonance electrical impedance tomography (MREIT): Phantom experiments for static resistivity images

Abstract

Bibliographical note

All Science Journal Classification (ASJC) codes

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