Experimental breast tumor detection using NN-based UWB imaging

This paper presents a system with experimental complement to a simulation work for early breast tumor detection. The experiments are conducted using commercial Ultrawide-Band (UWB) transceivers, Neural Network (NN) based Pattern Recognition (PR) software for imaging and proposed breast phantoms for...

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Main Authors: Alshehri, Saleh A., Khatun, Sabira, Jantan, Adznan, Raja Abdullah, Raja Syamsul Azmir, Mahmud, Rozi, Awang, Zaiki
Format: Article
Language:English
Published: EMW Publishing 2011
Online Access:http://psasir.upm.edu.my/id/eprint/14642/1/Experimental%20breast%20tumor%20detection%20using%20NN.pdf
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author Alshehri, Saleh A.
Khatun, Sabira
Jantan, Adznan
Raja Abdullah, Raja Syamsul Azmir
Mahmud, Rozi
Awang, Zaiki
author_facet Alshehri, Saleh A.
Khatun, Sabira
Jantan, Adznan
Raja Abdullah, Raja Syamsul Azmir
Mahmud, Rozi
Awang, Zaiki
author_sort Alshehri, Saleh A.
collection UPM
description This paper presents a system with experimental complement to a simulation work for early breast tumor detection. The experiments are conducted using commercial Ultrawide-Band (UWB) transceivers, Neural Network (NN) based Pattern Recognition (PR) software for imaging and proposed breast phantoms for homogenous and heterogeneous tissues. The proposed breast phantoms (homogeneous and heterogeneous) and tumor are constructed using available low cost materials and their mixtures with minimal e®ort. A specific glass is used as skin. All the materials and their mixtures are considered according to the ratio of the dielectric properties of the breast tissues. Experiments to detect tumor are performed in regular noisy room environment. The UWB signals are transmitted from one side of the breast phantom (for both cases) and received from opposite side diagonally repeatedly. Using discrete cosine transform (DCT) of these received signals, a Neural Network (NN) module is developed, trained and tested. The tumor existence, size and location detection rates for both cases are highly satisfactory, which are approximately: (i) 100%, 95.8% and 94.3% for homogeneous and (ii) 100%, 93.4% and 93.1% for heterogeneous cases respectively. This gives assurance of early detection and the practical usefulness of the developed system in near future.
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spelling upm.eprints-146422016-09-29T08:10:29Z http://psasir.upm.edu.my/id/eprint/14642/ Experimental breast tumor detection using NN-based UWB imaging Alshehri, Saleh A. Khatun, Sabira Jantan, Adznan Raja Abdullah, Raja Syamsul Azmir Mahmud, Rozi Awang, Zaiki This paper presents a system with experimental complement to a simulation work for early breast tumor detection. The experiments are conducted using commercial Ultrawide-Band (UWB) transceivers, Neural Network (NN) based Pattern Recognition (PR) software for imaging and proposed breast phantoms for homogenous and heterogeneous tissues. The proposed breast phantoms (homogeneous and heterogeneous) and tumor are constructed using available low cost materials and their mixtures with minimal e®ort. A specific glass is used as skin. All the materials and their mixtures are considered according to the ratio of the dielectric properties of the breast tissues. Experiments to detect tumor are performed in regular noisy room environment. The UWB signals are transmitted from one side of the breast phantom (for both cases) and received from opposite side diagonally repeatedly. Using discrete cosine transform (DCT) of these received signals, a Neural Network (NN) module is developed, trained and tested. The tumor existence, size and location detection rates for both cases are highly satisfactory, which are approximately: (i) 100%, 95.8% and 94.3% for homogeneous and (ii) 100%, 93.4% and 93.1% for heterogeneous cases respectively. This gives assurance of early detection and the practical usefulness of the developed system in near future. EMW Publishing 2011 Article PeerReviewed application/pdf en http://psasir.upm.edu.my/id/eprint/14642/1/Experimental%20breast%20tumor%20detection%20using%20NN.pdf Alshehri, Saleh A. and Khatun, Sabira and Jantan, Adznan and Raja Abdullah, Raja Syamsul Azmir and Mahmud, Rozi and Awang, Zaiki (2011) Experimental breast tumor detection using NN-based UWB imaging. Progress In Electromagnetics Research, 111. pp. 447-465. ISSN 1070-4698; ESSN: 1559-8985 http://www.jpier.org/PIER/pier.php?paper=10110102 10.2528/PIER10110102
spellingShingle Alshehri, Saleh A.
Khatun, Sabira
Jantan, Adznan
Raja Abdullah, Raja Syamsul Azmir
Mahmud, Rozi
Awang, Zaiki
Experimental breast tumor detection using NN-based UWB imaging
title Experimental breast tumor detection using NN-based UWB imaging
title_full Experimental breast tumor detection using NN-based UWB imaging
title_fullStr Experimental breast tumor detection using NN-based UWB imaging
title_full_unstemmed Experimental breast tumor detection using NN-based UWB imaging
title_short Experimental breast tumor detection using NN-based UWB imaging
title_sort experimental breast tumor detection using nn based uwb imaging
url http://psasir.upm.edu.my/id/eprint/14642/1/Experimental%20breast%20tumor%20detection%20using%20NN.pdf
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