Breast cancer detection using 1D, 2D and 3D FDTD numerical methods

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Mirza, A. F., Abdulsalam, F., Asif, R., Dama, Y. A. S., Abusitta, M. M., Elmegri, F., Abd-Alhameed, R. A., Noras, J. M. and Qahwaji, R. (2015) Breast cancer detection using 1D, 2D and 3D FDTD numerical methods. In: Proceedings - 15th IEEE International Conference on Computer and Information Technology, CIT 2015, 14th IEEE International Conference on Ubiquitous Computing and Communications, IUCC 2015, 13th IEEE International Conference on Dependable, Autonomic and Secure Computing, DASC 2015 and 13th IEEE International Conference on Pervasive Intelligence and Computing, PICom 2015. The Institute of Electrical and Electronics Engineers (IEEE), Liverpool, pp. 1042-1045. ISBN 9781509001545

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Abstract

Early detection of breast cancer using a radio frequency application is technically challenging, but potentially of great importance since it would be fast and cheap to implement. This paper explores an ideal ultra-wideband application for detecting tumour cancer within breast tissues using an FDTD numerical method. 1D, 2D and 3D FDTD models are investigated experimentally and the best ways of identifying the existence of cancerous tissue are discussed. Pulses with a narrow bandwidth of 4 GHz, centred at 6 GHz, were used for excitation, and their reflections from tumour equivalents of various positions and sizes were recorded and plotted. Results of analysis suggest the scheme is a suitable candidate for cancer detection.

Item Type:	Book Section
Additional Information:	Publisher Copyright: © 2015 IEEE.
Uncontrolled Keywords:	cancer detection,fdtd,reflection,scattering,ultra-wideband,information systems,artificial intelligence,computer networks and communications,sdg 3 - good health and well-being ,/dk/atira/pure/subjectarea/asjc/1700/1710
Faculty \ School:	Faculty of Science > School of Computing Sciences
UEA Research Groups:	Faculty of Science > Research Groups > Smart Emerging Technologies Faculty of Science > Research Groups > Cyber Security Privacy and Trust Laboratory
Related URLs:	http://www.scopus.com/inward/record.url?...
Depositing User:	LivePure Connector
Date Deposited:	24 Aug 2022 23:46
Last Modified:	14 Mar 2023 08:39
URI:	https://ueaeprints.uea.ac.uk/id/eprint/87613
DOI:	10.1109/CIT/IUCC/DASC/PICOM.2015.158

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