Effect of structured packing on EIT image reconstruction

Yunjie Yang; Jiabin Jia; Nick Polydorides; Hugh McCann

doi:10.1109/IST.2014.6958445

Effect of structured packing on EIT image reconstruction

Yunjie Yang, Jiabin Jia, Nick Polydorides, Hugh McCann

School of Engineering

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

Abstract / Description of output

Broadly used in chemical engineering, structured packing is beneficial for maximizing liquid spreading. In this paper, image reconstruction for electrical impedance tomography (EIT) sensors with structured packing is investigated. To evaluate the effect of structured packing on image quality, characterization of EIT sensor with structured packing is firstly carried out. Furthermore, fringe effect in image reconstruction using these sensors is presented. Based on the study, it is found that compared with standard Tikhonov regularization and Landweber iteration, using 2-order difference operators, such as Gaussian-Laplace operator, can effectively decrease the degradation of image quality. The study also discusses the feasibility of using homogeneous sensitivity matrix in image reconstruction. Numerical analysis is carried out to demonstrate the validation of the study.

Original language	English
Title of host publication	IST 2014 - 2014 IEEE International Conference on Imaging Systems and Techniques, Proceedings
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	53-58
Number of pages	6
ISBN (Print)	9781479967483
DOIs	https://doi.org/10.1109/IST.2014.6958445
Publication status	Published - 1 Jan 2014
Event	2014 IEEE International Conference on Imaging Systems and Techniques, IST 2014 - Santorini Island, United Kingdom Duration: 14 Oct 2014 → 17 Oct 2014

Conference

Conference	2014 IEEE International Conference on Imaging Systems and Techniques, IST 2014
Country/Territory	United Kingdom
City	Santorini Island
Period	14/10/14 → 17/10/14

Keywords / Materials (for Non-textual outputs)

electrical impedance tomography
Gaussian-Laplace operator
image reconstruction
structured packing

Access to Document

10.1109/IST.2014.6958445

Cite this

@inproceedings{41572c946679492e9cb11fccb039d943,

title = "Effect of structured packing on EIT image reconstruction",

abstract = "Broadly used in chemical engineering, structured packing is beneficial for maximizing liquid spreading. In this paper, image reconstruction for electrical impedance tomography (EIT) sensors with structured packing is investigated. To evaluate the effect of structured packing on image quality, characterization of EIT sensor with structured packing is firstly carried out. Furthermore, fringe effect in image reconstruction using these sensors is presented. Based on the study, it is found that compared with standard Tikhonov regularization and Landweber iteration, using 2-order difference operators, such as Gaussian-Laplace operator, can effectively decrease the degradation of image quality. The study also discusses the feasibility of using homogeneous sensitivity matrix in image reconstruction. Numerical analysis is carried out to demonstrate the validation of the study.",

keywords = "electrical impedance tomography, Gaussian-Laplace operator, image reconstruction, structured packing",

author = "Yunjie Yang and Jiabin Jia and Nick Polydorides and Hugh McCann",

year = "2014",

month = jan,

day = "1",

doi = "10.1109/IST.2014.6958445",

language = "English",

isbn = "9781479967483",

pages = "53--58",

booktitle = "IST 2014 - 2014 IEEE International Conference on Imaging Systems and Techniques, Proceedings",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

address = "United States",

note = "2014 IEEE International Conference on Imaging Systems and Techniques, IST 2014 ; Conference date: 14-10-2014 Through 17-10-2014",

}

Yang, Y , Jia, J , Polydorides, N & McCann, H 2014, Effect of structured packing on EIT image reconstruction. in IST 2014 - 2014 IEEE International Conference on Imaging Systems and Techniques, Proceedings., 6958445, Institute of Electrical and Electronics Engineers Inc., pp. 53-58, 2014 IEEE International Conference on Imaging Systems and Techniques, IST 2014, Santorini Island, United Kingdom, 14/10/14. https://doi.org/10.1109/IST.2014.6958445

Effect of structured packing on EIT image reconstruction. / Yang, Yunjie ; Jia, Jiabin ; Polydorides, Nick et al.
IST 2014 - 2014 IEEE International Conference on Imaging Systems and Techniques, Proceedings. Institute of Electrical and Electronics Engineers Inc., 2014. p. 53-58 6958445.

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

TY - GEN

T1 - Effect of structured packing on EIT image reconstruction

AU - Yang, Yunjie

AU - Jia, Jiabin

AU - Polydorides, Nick

AU - McCann, Hugh

PY - 2014/1/1

Y1 - 2014/1/1

N2 - Broadly used in chemical engineering, structured packing is beneficial for maximizing liquid spreading. In this paper, image reconstruction for electrical impedance tomography (EIT) sensors with structured packing is investigated. To evaluate the effect of structured packing on image quality, characterization of EIT sensor with structured packing is firstly carried out. Furthermore, fringe effect in image reconstruction using these sensors is presented. Based on the study, it is found that compared with standard Tikhonov regularization and Landweber iteration, using 2-order difference operators, such as Gaussian-Laplace operator, can effectively decrease the degradation of image quality. The study also discusses the feasibility of using homogeneous sensitivity matrix in image reconstruction. Numerical analysis is carried out to demonstrate the validation of the study.

AB - Broadly used in chemical engineering, structured packing is beneficial for maximizing liquid spreading. In this paper, image reconstruction for electrical impedance tomography (EIT) sensors with structured packing is investigated. To evaluate the effect of structured packing on image quality, characterization of EIT sensor with structured packing is firstly carried out. Furthermore, fringe effect in image reconstruction using these sensors is presented. Based on the study, it is found that compared with standard Tikhonov regularization and Landweber iteration, using 2-order difference operators, such as Gaussian-Laplace operator, can effectively decrease the degradation of image quality. The study also discusses the feasibility of using homogeneous sensitivity matrix in image reconstruction. Numerical analysis is carried out to demonstrate the validation of the study.

KW - electrical impedance tomography

KW - Gaussian-Laplace operator

KW - image reconstruction

KW - structured packing

UR - http://www.scopus.com/inward/record.url?scp=84916633174&partnerID=8YFLogxK

U2 - 10.1109/IST.2014.6958445

DO - 10.1109/IST.2014.6958445

M3 - Conference contribution

AN - SCOPUS:84916633174

SN - 9781479967483

SP - 53

EP - 58

BT - IST 2014 - 2014 IEEE International Conference on Imaging Systems and Techniques, Proceedings

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 2014 IEEE International Conference on Imaging Systems and Techniques, IST 2014

Y2 - 14 October 2014 through 17 October 2014

ER -

Effect of structured packing on EIT image reconstruction

Abstract / Description of output

Conference

Keywords / Materials (for Non-textual outputs)

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Advanced digital electrical impedance tomography system for biomedical imaging

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