Detecting human head conductivity distribution by means of a RSM-MREIT algorithm

Nuo Gao; Shanan Zhu; Bin He

Detecting human head conductivity distribution by means of a RSM-MREIT algorithm

Nuo Gao, Shanan Zhu, Bin He

Biomedical Engineering

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

3 Scopus citations

Abstract

We have developed a new Magnetic Resonance Electrical Impedance Tomography (MREIT) algorithm, RSM-MREIT. This new algorithm uses Response Surface Methodology (RSM) and Simplex method to reconstruct subject's conductivity distribution. RSM-MREIT algorithm uses only one component of the measured magnetic flux density to reconstruct the conductivity images, and, consequently, solves the rotation problem in MREIT. The proposed algorithm is tested on a three-sphere head model and the simulation results suggest that the proposed algorithm can reconstruct the conductivity distribution with high accuracy.

Original language	English (US)
Title of host publication	Proceedings of the 2005 27th Annual International Conference of the Engineering in Medicine and Biology Society, IEEE-EMBS 2005
Pages	2641-2643
Number of pages	3
State	Published - 2005
Event	2005 27th Annual International Conference of the Engineering in Medicine and Biology Society, IEEE-EMBS 2005 - Shanghai, China Duration: Sep 1 2005 → Sep 4 2005

Publication series

Name	Annual International Conference of the IEEE Engineering in Medicine and Biology - Proceedings
Volume	7 VOLS
ISSN (Print)	0589-1019

Other

Other	2005 27th Annual International Conference of the Engineering in Medicine and Biology Society, IEEE-EMBS 2005
Country/Territory	China
City	Shanghai
Period	9/1/05 → 9/4/05

Keywords

Conductivity
Magnetic resonance electrical impedance tomography
Response surface methodology

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Gao, N., Zhu, S., & He, B. (2005). Detecting human head conductivity distribution by means of a RSM-MREIT algorithm. In Proceedings of the 2005 27th Annual International Conference of the Engineering in Medicine and Biology Society, IEEE-EMBS 2005 (pp. 2641-2643). Article 1617012 (Annual International Conference of the IEEE Engineering in Medicine and Biology - Proceedings; Vol. 7 VOLS).

Detecting human head conductivity distribution by means of a RSM-MREIT algorithm. / Gao, Nuo; Zhu, Shanan; He, Bin.
Proceedings of the 2005 27th Annual International Conference of the Engineering in Medicine and Biology Society, IEEE-EMBS 2005. 2005. p. 2641-2643 1617012 (Annual International Conference of the IEEE Engineering in Medicine and Biology - Proceedings; Vol. 7 VOLS).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Gao, N, Zhu, S & He, B 2005, Detecting human head conductivity distribution by means of a RSM-MREIT algorithm. in Proceedings of the 2005 27th Annual International Conference of the Engineering in Medicine and Biology Society, IEEE-EMBS 2005., 1617012, Annual International Conference of the IEEE Engineering in Medicine and Biology - Proceedings, vol. 7 VOLS, pp. 2641-2643, 2005 27th Annual International Conference of the Engineering in Medicine and Biology Society, IEEE-EMBS 2005, Shanghai, China, 9/1/05.

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title = "Detecting human head conductivity distribution by means of a RSM-MREIT algorithm",

abstract = "We have developed a new Magnetic Resonance Electrical Impedance Tomography (MREIT) algorithm, RSM-MREIT. This new algorithm uses Response Surface Methodology (RSM) and Simplex method to reconstruct subject's conductivity distribution. RSM-MREIT algorithm uses only one component of the measured magnetic flux density to reconstruct the conductivity images, and, consequently, solves the rotation problem in MREIT. The proposed algorithm is tested on a three-sphere head model and the simulation results suggest that the proposed algorithm can reconstruct the conductivity distribution with high accuracy.",

keywords = "Conductivity, Magnetic resonance electrical impedance tomography, Response surface methodology",

author = "Nuo Gao and Shanan Zhu and Bin He",

year = "2005",

language = "English (US)",

isbn = "0780387406",

series = "Annual International Conference of the IEEE Engineering in Medicine and Biology - Proceedings",

pages = "2641--2643",

booktitle = "Proceedings of the 2005 27th Annual International Conference of the Engineering in Medicine and Biology Society, IEEE-EMBS 2005",

note = "2005 27th Annual International Conference of the Engineering in Medicine and Biology Society, IEEE-EMBS 2005 ; Conference date: 01-09-2005 Through 04-09-2005",

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AU - Gao, Nuo

AU - Zhu, Shanan

AU - He, Bin

PY - 2005

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N2 - We have developed a new Magnetic Resonance Electrical Impedance Tomography (MREIT) algorithm, RSM-MREIT. This new algorithm uses Response Surface Methodology (RSM) and Simplex method to reconstruct subject's conductivity distribution. RSM-MREIT algorithm uses only one component of the measured magnetic flux density to reconstruct the conductivity images, and, consequently, solves the rotation problem in MREIT. The proposed algorithm is tested on a three-sphere head model and the simulation results suggest that the proposed algorithm can reconstruct the conductivity distribution with high accuracy.

AB - We have developed a new Magnetic Resonance Electrical Impedance Tomography (MREIT) algorithm, RSM-MREIT. This new algorithm uses Response Surface Methodology (RSM) and Simplex method to reconstruct subject's conductivity distribution. RSM-MREIT algorithm uses only one component of the measured magnetic flux density to reconstruct the conductivity images, and, consequently, solves the rotation problem in MREIT. The proposed algorithm is tested on a three-sphere head model and the simulation results suggest that the proposed algorithm can reconstruct the conductivity distribution with high accuracy.

KW - Conductivity

KW - Magnetic resonance electrical impedance tomography

KW - Response surface methodology

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M3 - Conference contribution

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BT - Proceedings of the 2005 27th Annual International Conference of the Engineering in Medicine and Biology Society, IEEE-EMBS 2005

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ER -

Detecting human head conductivity distribution by means of a RSM-MREIT algorithm

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