Finite element model with node renumbering for adaptive impedance imaging

Eung Je Woo; Ping Hua; Willis J. Tompkins; John G. Webster

Finite element model with node renumbering for adaptive impedance imaging

Eung Je Woo
, Ping Hua
, Willis J. Tompkins
, John G. Webster

Research output: Contribution to conference › Paper › peer-review

11 Citations (Scopus)

Abstract

An electrical impedance tomography (EIT) method is considered in which 32 electrodes are placed around the thorax, currents are injected, and voltages are measured to reconstruct a cross-sectional image of resistivity. The authors solve the forward problem using the finite-element method (FEM). The number of elements determines the spatial resolution of the resistivity image. An adaptive current-injection method to provide an optimal current distribution is used. The modified Newton-Raphson method is used as the reconstruction algorithm. The authors use sparse matrix techniques with node renumbering methods to minimize the computation time.

Original language	English
Pages	277-278
Number of pages	2
Publication status	Published - Nov 1988
Event	Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society - New Orleans, LA, USA Duration: 4 Nov 1988 → 7 Nov 1988

Conference

Conference	Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society
City	New Orleans, LA, USA
Period	4/11/88 → 7/11/88

Cite this

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title = "Finite element model with node renumbering for adaptive impedance imaging",

abstract = "An electrical impedance tomography (EIT) method is considered in which 32 electrodes are placed around the thorax, currents are injected, and voltages are measured to reconstruct a cross-sectional image of resistivity. The authors solve the forward problem using the finite-element method (FEM). The number of elements determines the spatial resolution of the resistivity image. An adaptive current-injection method to provide an optimal current distribution is used. The modified Newton-Raphson method is used as the reconstruction algorithm. The authors use sparse matrix techniques with node renumbering methods to minimize the computation time.",

author = "Woo, \{Eung Je\} and Ping Hua and Tompkins, \{Willis J.\} and Webster, \{John G.\}",

note = "Copyright: Copyright 2004 Elsevier B.V., All rights reserved.; Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society ; Conference date: 04-11-1988 Through 07-11-1988",

year = "1988",

month = nov,

language = "English",

pages = "277--278",

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TY - CONF

T1 - Finite element model with node renumbering for adaptive impedance imaging

AU - Woo, Eung Je

AU - Hua, Ping

AU - Tompkins, Willis J.

AU - Webster, John G.

PY - 1988/11

Y1 - 1988/11

N2 - An electrical impedance tomography (EIT) method is considered in which 32 electrodes are placed around the thorax, currents are injected, and voltages are measured to reconstruct a cross-sectional image of resistivity. The authors solve the forward problem using the finite-element method (FEM). The number of elements determines the spatial resolution of the resistivity image. An adaptive current-injection method to provide an optimal current distribution is used. The modified Newton-Raphson method is used as the reconstruction algorithm. The authors use sparse matrix techniques with node renumbering methods to minimize the computation time.

AB - An electrical impedance tomography (EIT) method is considered in which 32 electrodes are placed around the thorax, currents are injected, and voltages are measured to reconstruct a cross-sectional image of resistivity. The authors solve the forward problem using the finite-element method (FEM). The number of elements determines the spatial resolution of the resistivity image. An adaptive current-injection method to provide an optimal current distribution is used. The modified Newton-Raphson method is used as the reconstruction algorithm. The authors use sparse matrix techniques with node renumbering methods to minimize the computation time.

UR - https://www.scopus.com/pages/publications/0024112133

M3 - Paper

AN - SCOPUS:0024112133

SP - 277

EP - 278

T2 - Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society

Y2 - 4 November 1988 through 7 November 1988

ER -

Finite element model with node renumbering for adaptive impedance imaging

Abstract

Conference

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