Home > Research > Publications & Outputs > Dynamic imaging in electrical capacitance tomog...
View graph of relations

Dynamic imaging in electrical capacitance tomography and electromagnetic induction tomography using a Kalman filter.

Research output: Contribution to journalJournal articlepeer-review

Published

Standard

Dynamic imaging in electrical capacitance tomography and electromagnetic induction tomography using a Kalman filter. / Soleimani, Manuchehr; Vauhkonen, Marko; Yang, Wuqiang Q.; Peyton, Anthony J.; Kim, Bong Seok; Ma, Xiandong.

In: Measurement Science and Technology, Vol. 18, No. 11, 11.2007, p. 3287-3294.

Research output: Contribution to journalJournal articlepeer-review

Harvard

Soleimani, M, Vauhkonen, M, Yang, WQ, Peyton, AJ, Kim, BS & Ma, X 2007, 'Dynamic imaging in electrical capacitance tomography and electromagnetic induction tomography using a Kalman filter.', Measurement Science and Technology, vol. 18, no. 11, pp. 3287-3294. https://doi.org/10.1088/0957-0233/18/11/004

APA

Soleimani, M., Vauhkonen, M., Yang, W. Q., Peyton, A. J., Kim, B. S., & Ma, X. (2007). Dynamic imaging in electrical capacitance tomography and electromagnetic induction tomography using a Kalman filter. Measurement Science and Technology, 18(11), 3287-3294. https://doi.org/10.1088/0957-0233/18/11/004

Vancouver

Soleimani M, Vauhkonen M, Yang WQ, Peyton AJ, Kim BS, Ma X. Dynamic imaging in electrical capacitance tomography and electromagnetic induction tomography using a Kalman filter. Measurement Science and Technology. 2007 Nov;18(11):3287-3294. https://doi.org/10.1088/0957-0233/18/11/004

Author

Soleimani, Manuchehr ; Vauhkonen, Marko ; Yang, Wuqiang Q. ; Peyton, Anthony J. ; Kim, Bong Seok ; Ma, Xiandong. / Dynamic imaging in electrical capacitance tomography and electromagnetic induction tomography using a Kalman filter. In: Measurement Science and Technology. 2007 ; Vol. 18, No. 11. pp. 3287-3294.

Bibtex

@article{49182dc25dc54c798ce8f8cb4f83e467,
title = "Dynamic imaging in electrical capacitance tomography and electromagnetic induction tomography using a Kalman filter.",
abstract = "Electrical capacitance tomography (ECT) and electromagnetic induction tomography (EMT) attempt to visualize the distributions of materials with different permittivity and conductivity/permeability, aiming to reveal electrical and magnetic characteristics of an object, by measuring electrical capacitance and electromagnetic inductance on the periphery of the object. In ECT, capacitances of pairs of electrodes placed around the periphery are measured and in EMT, mutual induction of pairs of coils is measured. In this paper, a dynamic imaging technique is developed for ECT and EMT with a linearized Kalman filter to improve the temporal resolution of images. The inverse problem is treated as a state estimate. A Kalman estimator is used to obtain the material distribution. Experimental results demonstrate that the dynamic imaging technique can improve the spatio-temporal resolution of both ECT and EMT.",
keywords = "Electrical capacitance tomography, electromagnetic induction tomography, permittivity and conductivity distribution, inverse problem, dynamic imaging, Kalman filter",
author = "Manuchehr Soleimani and Marko Vauhkonen and Yang, {Wuqiang Q.} and Peyton, {Anthony J.} and Kim, {Bong Seok} and Xiandong Ma",
year = "2007",
month = nov,
doi = "10.1088/0957-0233/18/11/004",
language = "English",
volume = "18",
pages = "3287--3294",
journal = "Measurement Science and Technology",
issn = "0957-0233",
publisher = "IOP Publishing Ltd.",
number = "11",

}

RIS

TY - JOUR

T1 - Dynamic imaging in electrical capacitance tomography and electromagnetic induction tomography using a Kalman filter.

AU - Soleimani, Manuchehr

AU - Vauhkonen, Marko

AU - Yang, Wuqiang Q.

AU - Peyton, Anthony J.

AU - Kim, Bong Seok

AU - Ma, Xiandong

PY - 2007/11

Y1 - 2007/11

N2 - Electrical capacitance tomography (ECT) and electromagnetic induction tomography (EMT) attempt to visualize the distributions of materials with different permittivity and conductivity/permeability, aiming to reveal electrical and magnetic characteristics of an object, by measuring electrical capacitance and electromagnetic inductance on the periphery of the object. In ECT, capacitances of pairs of electrodes placed around the periphery are measured and in EMT, mutual induction of pairs of coils is measured. In this paper, a dynamic imaging technique is developed for ECT and EMT with a linearized Kalman filter to improve the temporal resolution of images. The inverse problem is treated as a state estimate. A Kalman estimator is used to obtain the material distribution. Experimental results demonstrate that the dynamic imaging technique can improve the spatio-temporal resolution of both ECT and EMT.

AB - Electrical capacitance tomography (ECT) and electromagnetic induction tomography (EMT) attempt to visualize the distributions of materials with different permittivity and conductivity/permeability, aiming to reveal electrical and magnetic characteristics of an object, by measuring electrical capacitance and electromagnetic inductance on the periphery of the object. In ECT, capacitances of pairs of electrodes placed around the periphery are measured and in EMT, mutual induction of pairs of coils is measured. In this paper, a dynamic imaging technique is developed for ECT and EMT with a linearized Kalman filter to improve the temporal resolution of images. The inverse problem is treated as a state estimate. A Kalman estimator is used to obtain the material distribution. Experimental results demonstrate that the dynamic imaging technique can improve the spatio-temporal resolution of both ECT and EMT.

KW - Electrical capacitance tomography

KW - electromagnetic induction tomography

KW - permittivity and conductivity distribution

KW - inverse problem

KW - dynamic imaging

KW - Kalman filter

U2 - 10.1088/0957-0233/18/11/004

DO - 10.1088/0957-0233/18/11/004

M3 - Journal article

VL - 18

SP - 3287

EP - 3294

JO - Measurement Science and Technology

JF - Measurement Science and Technology

SN - 0957-0233

IS - 11

ER -