Breast tumor early detection using UWB antenna and improved feature extraction technique

Breast cancer has already invaded the women around the world with its brutal attack. Numerous patients are sacrificing their lives everyday due to lack of efficient cure technology and a huge number of patients are still existing to hear the death sentence. X-ray mammography is currently recognize...

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Main Author:	Khondker Jahid, Reza
Format:	Thesis
Language:	English
Subjects:	UWB antenna Breast cancer Antennas Ultra wideband (UWB) Breast cancer detection
Online Access:	http://dspace.unimap.edu.my:80/xmlui/bitstream/123456789/44133/1/p.1-24.pdf http://dspace.unimap.edu.my:80/xmlui/bitstream/123456789/44133/2/full%20text.pdf
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id	my-unimap-44133
record_format	uketd_dc
spelling	my-unimap-441332016-11-22T09:03:30Z Breast tumor early detection using UWB antenna and improved feature extraction technique Khondker Jahid, Reza Breast cancer has already invaded the women around the world with its brutal attack. Numerous patients are sacrificing their lives everyday due to lack of efficient cure technology and a huge number of patients are still existing to hear the death sentence. X-ray mammography is currently recognized as the golden standard of breast cancer screening, but it suffers from high miss detection ratio, painful breast compression and other harmful side effects. The main motto of this work is to identify the tumor in its smallest dimension using an efficient, user-friendly and non-invasive detection method without any side effects on human health. Towards this goal, a pyramidal shaped microstrip patch ultra wideband (UWB) antenna is proposed for frequency range of 3.23 GHz to 12 GHz for radar based microwave imaging system. The performance of the antenna is measured in air media as well as in the vicinity of breast model for lower band (3 GHz to 6 GHz) of UWB. In both cases, the antenna's reflection (S11) and transmission (S21) coefficients are investigated in near field and far field region. A realistic breast model is also designed through Computer Simulation Technology (CST) software and experimentally. The distance between the transmitting antenna and breast model is varied from 1 mm up to 36 mm. The results show that, the proposed antenna performs better in near reactive region at a distance of 1 mm to 10 mm. Maximum and minimum transmission losses are -63.74 dB and -9.5 dB at 10 mm and 1 mm distance respectively. On the other hand, maximum and minimum reflection losses are found -1 dB and -52.58 dB at 36 mm and 2 mm respectively. In the whole experiment, the receiver is kept fixed at 1 mm apart from the breast and the received signals are reserved for the further signal processing. An efficient feature extraction technique (i.e., maximum, minimum, mean and standard deviation amplitude values of received pulse) is proposed here which also enhances the neural network training and testing performances by reducing the required time duration three times than previous studies. The overall system performance is verified by using proposed feature extraction and proposed antenna for various tumor sizes. The comparative study among support vector machine (SVM) kernel functions including linear function, radial basis function, polynomial and multi layer perceptions are investigated and verified for pattern recognition performance with 100% accuracy. SVM detects tumor size with lesser accuracy than artificial neural network (ANN) results. The overall experimental system with ANN is able to detect tumor existence and tumor size of 1 mm (diameter) with nearly 99 % accuracy, which is around 3.2% more than related existing systems. Universiti Malaysia Perlis (UniMAP) 2014 Thesis en http://dspace.unimap.edu.my:80/xmlui/handle/123456789/44133 http://dspace.unimap.edu.my:80/xmlui/bitstream/123456789/44133/1/p.1-24.pdf 03aebcdc93b50ccfcdc8212fa9675d6b http://dspace.unimap.edu.my:80/xmlui/bitstream/123456789/44133/2/full%20text.pdf 43c4b8849312cb029202db6fb3ca6bad http://dspace.unimap.edu.my:80/xmlui/bitstream/123456789/44133/3/license.txt 8a4605be74aa9ea9d79846c1fba20a33 UWB antenna Breast cancer Antennas Ultra wideband (UWB) Breast cancer detection School of Computer and Communication Engineering
institution	Universiti Malaysia Perlis
collection	UniMAP Institutional Repository
language	English
topic	UWB antenna Breast cancer Antennas Ultra wideband (UWB) Breast cancer detection
spellingShingle	UWB antenna Breast cancer Antennas Ultra wideband (UWB) Breast cancer detection Khondker Jahid, Reza Breast tumor early detection using UWB antenna and improved feature extraction technique
description	Breast cancer has already invaded the women around the world with its brutal attack. Numerous patients are sacrificing their lives everyday due to lack of efficient cure technology and a huge number of patients are still existing to hear the death sentence. X-ray mammography is currently recognized as the golden standard of breast cancer screening, but it suffers from high miss detection ratio, painful breast compression and other harmful side effects. The main motto of this work is to identify the tumor in its smallest dimension using an efficient, user-friendly and non-invasive detection method without any side effects on human health. Towards this goal, a pyramidal shaped microstrip patch ultra wideband (UWB) antenna is proposed for frequency range of 3.23 GHz to 12 GHz for radar based microwave imaging system. The performance of the antenna is measured in air media as well as in the vicinity of breast model for lower band (3 GHz to 6 GHz) of UWB. In both cases, the antenna's reflection (S11) and transmission (S21) coefficients are investigated in near field and far field region. A realistic breast model is also designed through Computer Simulation Technology (CST) software and experimentally. The distance between the transmitting antenna and breast model is varied from 1 mm up to 36 mm. The results show that, the proposed antenna performs better in near reactive region at a distance of 1 mm to 10 mm. Maximum and minimum transmission losses are -63.74 dB and -9.5 dB at 10 mm and 1 mm distance respectively. On the other hand, maximum and minimum reflection losses are found -1 dB and -52.58 dB at 36 mm and 2 mm respectively. In the whole experiment, the receiver is kept fixed at 1 mm apart from the breast and the received signals are reserved for the further signal processing. An efficient feature extraction technique (i.e., maximum, minimum, mean and standard deviation amplitude values of received pulse) is proposed here which also enhances the neural network training and testing performances by reducing the required time duration three times than previous studies. The overall system performance is verified by using proposed feature extraction and proposed antenna for various tumor sizes. The comparative study among support vector machine (SVM) kernel functions including linear function, radial basis function, polynomial and multi layer perceptions are investigated and verified for pattern recognition performance with 100% accuracy. SVM detects tumor size with lesser accuracy than artificial neural network (ANN) results. The overall experimental system with ANN is able to detect tumor existence and tumor size of 1 mm (diameter) with nearly 99 % accuracy, which is around 3.2% more than related existing systems.
format	Thesis
author	Khondker Jahid, Reza
author_facet	Khondker Jahid, Reza
author_sort	Khondker Jahid, Reza
title	Breast tumor early detection using UWB antenna and improved feature extraction technique
title_short	Breast tumor early detection using UWB antenna and improved feature extraction technique
title_full	Breast tumor early detection using UWB antenna and improved feature extraction technique
title_fullStr	Breast tumor early detection using UWB antenna and improved feature extraction technique
title_full_unstemmed	Breast tumor early detection using UWB antenna and improved feature extraction technique
title_sort	breast tumor early detection using uwb antenna and improved feature extraction technique
granting_institution	Universiti Malaysia Perlis (UniMAP)
granting_department	School of Computer and Communication Engineering
url	http://dspace.unimap.edu.my:80/xmlui/bitstream/123456789/44133/1/p.1-24.pdf http://dspace.unimap.edu.my:80/xmlui/bitstream/123456789/44133/2/full%20text.pdf
_version_	1747836827196194816

Breast tumor early detection using UWB antenna and improved feature extraction technique

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