Theory of tissue detection based on FDTD algorithm

Zhennan Yang; Zhiguo Wang; Peng Li; Weidong Kong; Meng Chang; Guohui Yang

doi:10.1109/ICEICT.2016.7879771

Theory of tissue detection based on FDTD algorithm

Zhennan Yang
, Zhiguo Wang
, Peng Li
, Weidong Kong
, Meng Chang
, Guohui Yang

School of Electronics and Information Engineering

Harbin University of Science and Technology
Beijing University of Posts and Telecommunications
Harbin Institute of Technology

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

Abstract

In this paper, based on the electromagnetic properties of biological tissue in the gigahertz and terahertz frequency, we deduced the finite difference time domain (FDTD) algorithm for Debye media respectively. And in each of the two bands, two kinds of typical biological tissues were simulated. By comparing the cancer tissue with skin tissue, it can be drawn that the absorption rate of electromagnetic wave for cancer tissue is better than that of skin tissue. In addition, simulation experiments allow us to observe the propagation of electromagnetic waves in biological tissue, which can help researchers analyze and understand the theory of electromagnetic wave in cancer detection and treatment.

Original language	English
Title of host publication	Proceedings of 2016 IEEE International Conference on Electronic Information and Communication Technology, ICEICT 2016
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	574-577
Number of pages	4
ISBN (Electronic)	9781509007288
DOIs	https://doi.org/10.1109/ICEICT.2016.7879771
State	Published - 15 Mar 2017
Event	2016 IEEE International Conference on Electronic Information and Communication Technology, ICEICT 2016 - Harbin, China Duration: 20 Aug 2016 → 22 Aug 2016

Publication series

Name	Proceedings of 2016 IEEE International Conference on Electronic Information and Communication Technology, ICEICT 2016

Conference

Conference	2016 IEEE International Conference on Electronic Information and Communication Technology, ICEICT 2016
Country/Territory	China
City	Harbin
Period	20/08/16 → 22/08/16

UN SDGs

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

SDG 3 Good Health and Well-being

Keywords

Debye modle
FDTD
Gigahertz
Terahertz

Access to Document

10.1109/ICEICT.2016.7879771

Cite this

Yang, Z., Wang, Z., Li, P., Kong, W., Chang, M., & Yang, G. (2017). Theory of tissue detection based on FDTD algorithm. In Proceedings of 2016 IEEE International Conference on Electronic Information and Communication Technology, ICEICT 2016 (pp. 574-577). Article 7879771 (Proceedings of 2016 IEEE International Conference on Electronic Information and Communication Technology, ICEICT 2016). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICEICT.2016.7879771

Yang, Zhennan ; Wang, Zhiguo ; Li, Peng et al. / Theory of tissue detection based on FDTD algorithm. Proceedings of 2016 IEEE International Conference on Electronic Information and Communication Technology, ICEICT 2016. Institute of Electrical and Electronics Engineers Inc., 2017. pp. 574-577 (Proceedings of 2016 IEEE International Conference on Electronic Information and Communication Technology, ICEICT 2016).

@inproceedings{50af392e611640f6993d4841af17e427,

title = "Theory of tissue detection based on FDTD algorithm",

abstract = "In this paper, based on the electromagnetic properties of biological tissue in the gigahertz and terahertz frequency, we deduced the finite difference time domain (FDTD) algorithm for Debye media respectively. And in each of the two bands, two kinds of typical biological tissues were simulated. By comparing the cancer tissue with skin tissue, it can be drawn that the absorption rate of electromagnetic wave for cancer tissue is better than that of skin tissue. In addition, simulation experiments allow us to observe the propagation of electromagnetic waves in biological tissue, which can help researchers analyze and understand the theory of electromagnetic wave in cancer detection and treatment.",

keywords = "Debye modle, FDTD, Gigahertz, Terahertz",

author = "Zhennan Yang and Zhiguo Wang and Peng Li and Weidong Kong and Meng Chang and Guohui Yang",

note = "Publisher Copyright: {\textcopyright} 2016 IEEE.; 2016 IEEE International Conference on Electronic Information and Communication Technology, ICEICT 2016 ; Conference date: 20-08-2016 Through 22-08-2016",

year = "2017",

month = mar,

day = "15",

doi = "10.1109/ICEICT.2016.7879771",

language = "英语",

series = "Proceedings of 2016 IEEE International Conference on Electronic Information and Communication Technology, ICEICT 2016",

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

pages = "574--577",

booktitle = "Proceedings of 2016 IEEE International Conference on Electronic Information and Communication Technology, ICEICT 2016",

address = "美国",

}

Yang, Z, Wang, Z, Li, P, Kong, W, Chang, M & Yang, G 2017, Theory of tissue detection based on FDTD algorithm. in Proceedings of 2016 IEEE International Conference on Electronic Information and Communication Technology, ICEICT 2016., 7879771, Proceedings of 2016 IEEE International Conference on Electronic Information and Communication Technology, ICEICT 2016, Institute of Electrical and Electronics Engineers Inc., pp. 574-577, 2016 IEEE International Conference on Electronic Information and Communication Technology, ICEICT 2016, Harbin, China, 20/08/16. https://doi.org/10.1109/ICEICT.2016.7879771

Theory of tissue detection based on FDTD algorithm. / Yang, Zhennan; Wang, Zhiguo; Li, Peng et al.
Proceedings of 2016 IEEE International Conference on Electronic Information and Communication Technology, ICEICT 2016. Institute of Electrical and Electronics Engineers Inc., 2017. p. 574-577 7879771 (Proceedings of 2016 IEEE International Conference on Electronic Information and Communication Technology, ICEICT 2016).

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

TY - GEN

T1 - Theory of tissue detection based on FDTD algorithm

AU - Yang, Zhennan

AU - Wang, Zhiguo

AU - Li, Peng

AU - Kong, Weidong

AU - Chang, Meng

AU - Yang, Guohui

PY - 2017/3/15

Y1 - 2017/3/15

N2 - In this paper, based on the electromagnetic properties of biological tissue in the gigahertz and terahertz frequency, we deduced the finite difference time domain (FDTD) algorithm for Debye media respectively. And in each of the two bands, two kinds of typical biological tissues were simulated. By comparing the cancer tissue with skin tissue, it can be drawn that the absorption rate of electromagnetic wave for cancer tissue is better than that of skin tissue. In addition, simulation experiments allow us to observe the propagation of electromagnetic waves in biological tissue, which can help researchers analyze and understand the theory of electromagnetic wave in cancer detection and treatment.

AB - In this paper, based on the electromagnetic properties of biological tissue in the gigahertz and terahertz frequency, we deduced the finite difference time domain (FDTD) algorithm for Debye media respectively. And in each of the two bands, two kinds of typical biological tissues were simulated. By comparing the cancer tissue with skin tissue, it can be drawn that the absorption rate of electromagnetic wave for cancer tissue is better than that of skin tissue. In addition, simulation experiments allow us to observe the propagation of electromagnetic waves in biological tissue, which can help researchers analyze and understand the theory of electromagnetic wave in cancer detection and treatment.

KW - Debye modle

KW - FDTD

KW - Gigahertz

KW - Terahertz

UR - https://www.scopus.com/pages/publications/85017254871

U2 - 10.1109/ICEICT.2016.7879771

DO - 10.1109/ICEICT.2016.7879771

M3 - 会议稿件

AN - SCOPUS:85017254871

T3 - Proceedings of 2016 IEEE International Conference on Electronic Information and Communication Technology, ICEICT 2016

SP - 574

EP - 577

BT - Proceedings of 2016 IEEE International Conference on Electronic Information and Communication Technology, ICEICT 2016

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 2016 IEEE International Conference on Electronic Information and Communication Technology, ICEICT 2016

Y2 - 20 August 2016 through 22 August 2016

ER -

Yang Z, Wang Z, Li P, Kong W, Chang M, Yang G. Theory of tissue detection based on FDTD algorithm. In Proceedings of 2016 IEEE International Conference on Electronic Information and Communication Technology, ICEICT 2016. Institute of Electrical and Electronics Engineers Inc. 2017. p. 574-577. 7879771. (Proceedings of 2016 IEEE International Conference on Electronic Information and Communication Technology, ICEICT 2016). doi: 10.1109/ICEICT.2016.7879771

Theory of tissue detection based on FDTD algorithm

Abstract

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UN SDGs

Keywords

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