Multiple measurement vector based image reconstruction for multifrequency impedance imaging using capacitive sensor

Zhijin Sun; Haokun Wang; Maomao Zhang; Yunjie Yang

Multiple measurement vector based image reconstruction for multifrequency impedance imaging using capacitive sensor

Zhijin Sun, Haokun Wang, Maomao Zhang, Yunjie Yang

School of Engineering

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

Abstract

A multiple measurement vector (MMV) model based image reconstruction algorithm is proposed to reconstruct simultaneously conductivity and permittivity distribution based on multi-frequency and complex-valued electrical capacitance tomography (ECT) data. Alternating direction method of multipliers (ADMM) is applied to solve the multi-frequency image reconstruction problem.

Original language	English
Number of pages	2
Publication status	Published - 2019
Event	20th International Conference on Biomedical Applications of Electrical Impedance Tomography - London, London, United Kingdom Duration: 1 Jul 2019 → 3 Jul 2019 https://eit2019.co.uk/

Conference

Conference	20th International Conference on Biomedical Applications of Electrical Impedance Tomography
Abbreviated title	EIT 2019
Country/Territory	United Kingdom
City	London
Period	1/07/19 → 3/07/19
Internet address	https://eit2019.co.uk/

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EIT2019_paper_45Accepted author manuscript, 496 KB

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@conference{76a9a1384512434f9635afeeb4cf6d79,

title = "Multiple measurement vector based image reconstruction for multifrequency impedance imaging using capacitive sensor",

abstract = "A multiple measurement vector (MMV) model based image reconstruction algorithm is proposed to reconstruct simultaneously conductivity and permittivity distribution based on multi-frequency and complex-valued electrical capacitance tomography (ECT) data. Alternating direction method of multipliers (ADMM) is applied to solve the multi-frequency image reconstruction problem. ",

author = "Zhijin Sun and Haokun Wang and Maomao Zhang and Yunjie Yang",

year = "2019",

language = "English",

note = "20th International Conference on Biomedical Applications of Electrical Impedance Tomography, EIT 2019 ; Conference date: 01-07-2019 Through 03-07-2019",

url = "https://eit2019.co.uk/",

}

Multiple measurement vector based image reconstruction for multifrequency impedance imaging using capacitive sensor. / Sun, Zhijin; Wang, Haokun; Zhang, Maomao et al.
2019. Paper presented at 20th International Conference on Biomedical Applications of Electrical Impedance Tomography, London, United Kingdom.

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

TY - CONF

T1 - Multiple measurement vector based image reconstruction for multifrequency impedance imaging using capacitive sensor

AU - Sun, Zhijin

AU - Wang, Haokun

AU - Zhang, Maomao

AU - Yang, Yunjie

PY - 2019

Y1 - 2019

N2 - A multiple measurement vector (MMV) model based image reconstruction algorithm is proposed to reconstruct simultaneously conductivity and permittivity distribution based on multi-frequency and complex-valued electrical capacitance tomography (ECT) data. Alternating direction method of multipliers (ADMM) is applied to solve the multi-frequency image reconstruction problem.

AB - A multiple measurement vector (MMV) model based image reconstruction algorithm is proposed to reconstruct simultaneously conductivity and permittivity distribution based on multi-frequency and complex-valued electrical capacitance tomography (ECT) data. Alternating direction method of multipliers (ADMM) is applied to solve the multi-frequency image reconstruction problem.

M3 - Paper

T2 - 20th International Conference on Biomedical Applications of Electrical Impedance Tomography

Y2 - 1 July 2019 through 3 July 2019

ER -

Multiple measurement vector based image reconstruction for multifrequency impedance imaging using capacitive sensor

Abstract

Conference

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