Reconstruction of Dielectric Pamameters of Human Tissues Using Distorted Born Iterative Method

Haoxiang Liu; Xiuzhu Ye

doi:10.1109/COMPEM.2019.8778947

Reconstruction of Dielectric Pamameters of Human Tissues Using Distorted Born Iterative Method

Haoxiang Liu, Xiuzhu Ye

Beihang University

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

1 Citation (Scopus)

Abstract

Bio-medical imaging is a measure to diagnose diseases, such as breast cancer and brain stroke. There are already some mature methods to reconstruct images of human tissues, such as ultrasonic imaging, X-ray imaging and MRI. As human tissues can be regarded as dispersion dielectrics, this article presents the inverse scattering imaging, which can reconstruct the distribution of complex relative permittivity of human tissues. The algorithm used in this article is distorted Born iterative method.

Original language	English
Title of host publication	2019 IEEE International Conference on Computational Electromagnetics, ICCEM 2019 - Proceedings
Publisher	Institute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)	9781538671115
DOIs	https://doi.org/10.1109/COMPEM.2019.8778947
Publication status	Published - Mar 2019
Externally published	Yes
Event	5th IEEE International Conference on Computational Electromagnetics, ICCEM 2019 - Shanghai, China Duration: 20 Mar 2019 → 22 Mar 2019

Publication series

Name	2019 IEEE International Conference on Computational Electromagnetics, ICCEM 2019 - Proceedings

Conference

Conference	5th IEEE International Conference on Computational Electromagnetics, ICCEM 2019
Country/Territory	China
City	Shanghai
Period	20/03/19 → 22/03/19

Keywords

DBIM
bio-medical imaging
dispersion dielectric
human tissues
inverse scattering imaging

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

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10.1109/COMPEM.2019.8778947

Cite this

Liu, H., & Ye, X. (2019). Reconstruction of Dielectric Pamameters of Human Tissues Using Distorted Born Iterative Method. In 2019 IEEE International Conference on Computational Electromagnetics, ICCEM 2019 - Proceedings Article 8778947 (2019 IEEE International Conference on Computational Electromagnetics, ICCEM 2019 - Proceedings). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/COMPEM.2019.8778947

Liu, Haoxiang ; Ye, Xiuzhu. / Reconstruction of Dielectric Pamameters of Human Tissues Using Distorted Born Iterative Method. 2019 IEEE International Conference on Computational Electromagnetics, ICCEM 2019 - Proceedings. Institute of Electrical and Electronics Engineers Inc., 2019. (2019 IEEE International Conference on Computational Electromagnetics, ICCEM 2019 - Proceedings).

@inproceedings{15d6db62c01c4e96a64ab625e99a8456,

title = "Reconstruction of Dielectric Pamameters of Human Tissues Using Distorted Born Iterative Method",

abstract = "Bio-medical imaging is a measure to diagnose diseases, such as breast cancer and brain stroke. There are already some mature methods to reconstruct images of human tissues, such as ultrasonic imaging, X-ray imaging and MRI. As human tissues can be regarded as dispersion dielectrics, this article presents the inverse scattering imaging, which can reconstruct the distribution of complex relative permittivity of human tissues. The algorithm used in this article is distorted Born iterative method.",

keywords = "DBIM, bio-medical imaging, dispersion dielectric, human tissues, inverse scattering imaging",

author = "Haoxiang Liu and Xiuzhu Ye",

note = "Publisher Copyright: {\textcopyright} 2019 IEEE.; 5th IEEE International Conference on Computational Electromagnetics, ICCEM 2019 ; Conference date: 20-03-2019 Through 22-03-2019",

year = "2019",

month = mar,

doi = "10.1109/COMPEM.2019.8778947",

language = "English",

series = "2019 IEEE International Conference on Computational Electromagnetics, ICCEM 2019 - Proceedings",

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

booktitle = "2019 IEEE International Conference on Computational Electromagnetics, ICCEM 2019 - Proceedings",

address = "United States",

}

Liu, H & Ye, X 2019, Reconstruction of Dielectric Pamameters of Human Tissues Using Distorted Born Iterative Method. in 2019 IEEE International Conference on Computational Electromagnetics, ICCEM 2019 - Proceedings., 8778947, 2019 IEEE International Conference on Computational Electromagnetics, ICCEM 2019 - Proceedings, Institute of Electrical and Electronics Engineers Inc., 5th IEEE International Conference on Computational Electromagnetics, ICCEM 2019, Shanghai, China, 20/03/19. https://doi.org/10.1109/COMPEM.2019.8778947

Reconstruction of Dielectric Pamameters of Human Tissues Using Distorted Born Iterative Method. / Liu, Haoxiang; Ye, Xiuzhu.
2019 IEEE International Conference on Computational Electromagnetics, ICCEM 2019 - Proceedings. Institute of Electrical and Electronics Engineers Inc., 2019. 8778947 (2019 IEEE International Conference on Computational Electromagnetics, ICCEM 2019 - Proceedings).

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

TY - GEN

T1 - Reconstruction of Dielectric Pamameters of Human Tissues Using Distorted Born Iterative Method

AU - Liu, Haoxiang

AU - Ye, Xiuzhu

PY - 2019/3

Y1 - 2019/3

N2 - Bio-medical imaging is a measure to diagnose diseases, such as breast cancer and brain stroke. There are already some mature methods to reconstruct images of human tissues, such as ultrasonic imaging, X-ray imaging and MRI. As human tissues can be regarded as dispersion dielectrics, this article presents the inverse scattering imaging, which can reconstruct the distribution of complex relative permittivity of human tissues. The algorithm used in this article is distorted Born iterative method.

AB - Bio-medical imaging is a measure to diagnose diseases, such as breast cancer and brain stroke. There are already some mature methods to reconstruct images of human tissues, such as ultrasonic imaging, X-ray imaging and MRI. As human tissues can be regarded as dispersion dielectrics, this article presents the inverse scattering imaging, which can reconstruct the distribution of complex relative permittivity of human tissues. The algorithm used in this article is distorted Born iterative method.

KW - DBIM

KW - bio-medical imaging

KW - dispersion dielectric

KW - human tissues

KW - inverse scattering imaging

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U2 - 10.1109/COMPEM.2019.8778947

DO - 10.1109/COMPEM.2019.8778947

M3 - Conference contribution

AN - SCOPUS:85070529236

T3 - 2019 IEEE International Conference on Computational Electromagnetics, ICCEM 2019 - Proceedings

BT - 2019 IEEE International Conference on Computational Electromagnetics, ICCEM 2019 - Proceedings

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 5th IEEE International Conference on Computational Electromagnetics, ICCEM 2019

Y2 - 20 March 2019 through 22 March 2019

ER -

Liu H, Ye X. Reconstruction of Dielectric Pamameters of Human Tissues Using Distorted Born Iterative Method. In 2019 IEEE International Conference on Computational Electromagnetics, ICCEM 2019 - Proceedings. Institute of Electrical and Electronics Engineers Inc. 2019. 8778947. (2019 IEEE International Conference on Computational Electromagnetics, ICCEM 2019 - Proceedings). doi: 10.1109/COMPEM.2019.8778947

Reconstruction of Dielectric Pamameters of Human Tissues Using Distorted Born Iterative Method

Abstract

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Keywords

UN SDGs

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