A UWB imaging system to detect early breast cancer in heterogeneous breast phantom

This paper presents an experimental early breast cancer detection system in terms of heterogeneous breast phantom. The system consists of commercial Ultrawide-Band (UWB) transceivers and our developed Neural Network (NN) based Pattern Recognition (PR) software for imaging. A simple way to construct...

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Main Authors:	Saleh, Alshehri, Adznan, Jantan, R. S. A., Raja Abdullah, Rozi, Mahmud, Sabira, Khatun, Zaiki, Awang
Format:	Conference or Workshop Item
Language:	English
Published:	IEEE 2011
Subjects:	QA76 Computer software
Online Access:	http://umpir.ump.edu.my/id/eprint/26210/ http://umpir.ump.edu.my/id/eprint/26210/ http://umpir.ump.edu.my/id/eprint/26210/1/A%20UWB%20imaging%20system%20to%20detect%20early%20breast%20cancer%20in%20heterogeneous%20breast%20phantom.pdf

id	ump-26210
recordtype	eprints
spelling	ump-262102020-02-10T02:18:11Z http://umpir.ump.edu.my/id/eprint/26210/ A UWB imaging system to detect early breast cancer in heterogeneous breast phantom Saleh, Alshehri Adznan, Jantan R. S. A., Raja Abdullah Rozi, Mahmud Sabira, Khatun Zaiki, Awang QA76 Computer software This paper presents an experimental early breast cancer detection system in terms of heterogeneous breast phantom. The system consists of commercial Ultrawide-Band (UWB) transceivers and our developed Neural Network (NN) based Pattern Recognition (PR) software for imaging. A simple way to construct cancer- tissue and heterogeneous breast phantom using available low cost materials and their mixtures is also proposed here. The materials are: (i) A mixture of petroleum jelly, soy oil, wheat flour and water as heterogeneous tissue; (ii) A particular glass as skin; and (iii) A specific mixture of water and wheat flour as cancer- tissue. All the materials and their mixtures are considered according to the ratio of the dielectric properties of the breast tissues. To experimentally detect cancer, the UWB signals are transmitted from one side of the breast phantom and received from opposite side diagonally. By using discrete cosine transform (DCT) of the received signals, a Neural Network (NN) is trained, tested and interfaced with the UWB transceiver to form the complete system. The achieved detection rate of cancer cell's existence, size and location are approximately 100%, 93.1% and 93.3% respectively. IEEE 2011 Conference or Workshop Item PeerReviewed pdf en http://umpir.ump.edu.my/id/eprint/26210/1/A%20UWB%20imaging%20system%20to%20detect%20early%20breast%20cancer%20in%20heterogeneous%20breast%20phantom.pdf Saleh, Alshehri and Adznan, Jantan and R. S. A., Raja Abdullah and Rozi, Mahmud and Sabira, Khatun and Zaiki, Awang (2011) A UWB imaging system to detect early breast cancer in heterogeneous breast phantom. In: 1st International Conference on Electrical, Control and Computer Engineering 2011 (InECCE 2011)., 21-22 June 2011 , Hyatt Regency, Kuantan, Pahang, Malaysia. pp. 238-242.. ISBN 978-1-61284-229-5 https://doi.org/10.1109/INECCE.2011.5953883
repository_type	Digital Repository
institution_category	Local University
institution	Universiti Malaysia Pahang
building	UMP Institutional Repository
collection	Online Access
language	English
topic	QA76 Computer software
spellingShingle	QA76 Computer software Saleh, Alshehri Adznan, Jantan R. S. A., Raja Abdullah Rozi, Mahmud Sabira, Khatun Zaiki, Awang A UWB imaging system to detect early breast cancer in heterogeneous breast phantom
description	This paper presents an experimental early breast cancer detection system in terms of heterogeneous breast phantom. The system consists of commercial Ultrawide-Band (UWB) transceivers and our developed Neural Network (NN) based Pattern Recognition (PR) software for imaging. A simple way to construct cancer- tissue and heterogeneous breast phantom using available low cost materials and their mixtures is also proposed here. The materials are: (i) A mixture of petroleum jelly, soy oil, wheat flour and water as heterogeneous tissue; (ii) A particular glass as skin; and (iii) A specific mixture of water and wheat flour as cancer- tissue. All the materials and their mixtures are considered according to the ratio of the dielectric properties of the breast tissues. To experimentally detect cancer, the UWB signals are transmitted from one side of the breast phantom and received from opposite side diagonally. By using discrete cosine transform (DCT) of the received signals, a Neural Network (NN) is trained, tested and interfaced with the UWB transceiver to form the complete system. The achieved detection rate of cancer cell's existence, size and location are approximately 100%, 93.1% and 93.3% respectively.
format	Conference or Workshop Item
author	Saleh, Alshehri Adznan, Jantan R. S. A., Raja Abdullah Rozi, Mahmud Sabira, Khatun Zaiki, Awang
author_facet	Saleh, Alshehri Adznan, Jantan R. S. A., Raja Abdullah Rozi, Mahmud Sabira, Khatun Zaiki, Awang
author_sort	Saleh, Alshehri
title	A UWB imaging system to detect early breast cancer in heterogeneous breast phantom
title_short	A UWB imaging system to detect early breast cancer in heterogeneous breast phantom
title_full	A UWB imaging system to detect early breast cancer in heterogeneous breast phantom
title_fullStr	A UWB imaging system to detect early breast cancer in heterogeneous breast phantom
title_full_unstemmed	A UWB imaging system to detect early breast cancer in heterogeneous breast phantom
title_sort	uwb imaging system to detect early breast cancer in heterogeneous breast phantom
publisher	IEEE
publishDate	2011
url	http://umpir.ump.edu.my/id/eprint/26210/ http://umpir.ump.edu.my/id/eprint/26210/ http://umpir.ump.edu.my/id/eprint/26210/1/A%20UWB%20imaging%20system%20to%20detect%20early%20breast%20cancer%20in%20heterogeneous%20breast%20phantom.pdf
first_indexed	2023-09-18T22:40:40Z
last_indexed	2023-09-18T22:40:40Z
_version_	1777416893603250176

A UWB imaging system to detect early breast cancer in heterogeneous breast phantom

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