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Experimental breast tumor detection using NN-based UWB imaging


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

Abstract / Synopsis

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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Additional Metadata

Item Type: Article
Divisions: Faculty of Medicine and Health Science
Faculty of Engineering
DOI Number: 10.2528/PIER10110102
Publisher: EMW Publishing
Keywords: Ultrawide-Band (UWB); Breast tumor detection; Breast phantom; Breast tissues; UWB signals; UWB imaging
Depositing User: Raja Norazlinda Raja Azenam
Date Deposited: 31 Oct 2013 15:12
Last Modified: 29 Sep 2016 16:10
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