Wavelet based signal processing techniques for medical image fusion

Recently signal and image processing have been central to researchers and scholars through present various applications and solve many problems in different fields in our life. This thesis presents signal processing algorithm for multi-modal medical images by fusion technique. Medical image fusion h...

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Main Author:	Ahmed, Saif Saaduldeen
Format:	Thesis
Language:	English
Published:	2014
Subjects:	R Medicine (General)
Online Access:	http://eprints.utm.my/id/eprint/48733/25/SaifSaaduldeenAhmedMFKE2014.pdf
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id	my-utm-ep.48733
record_format	uketd_dc
spelling	my-utm-ep.487332020-06-21T01:13:45Z Wavelet based signal processing techniques for medical image fusion 2014-06 Ahmed, Saif Saaduldeen R Medicine (General) Recently signal and image processing have been central to researchers and scholars through present various applications and solve many problems in different fields in our life. This thesis presents signal processing algorithm for multi-modal medical images by fusion technique. Medical image fusion has been used to derive texture from multi-modal medical image data. The idea is to improve the image content by fusing images like computer tomography (CT) and magnetic resonance imaging (MRI) images. This derived texture can be assisted by medical examiner for various purposes such as, diagnosing diseases, detecting the tumor, surgery treatment, and clinical treatment planning system. Our object to get more as possible better image fused high quality and clearer. Previous fusion based on the spatial domain and another depends on the frequency domain, both these strategies have disadvantages like contrast reduction, weak quality, artifact, and ringing. Therefore researchers in medical fusion field attempt to solve these problems by many algorithms are presented and are competed to improve previous results. Hence, this work present an algorithm based on Discrete Wavelet Transform (DWT) to obtain the scale and detail coefficients of the various images. Different fusion methods are also used comparing ; Non-linear fusion rule (NLFR), average mean value (AMV), maximum absolute rule (MAR), and Weighted Condition Value (WCV) to correlate the coefficients each method is used separately then produce the last result by Inverse Discrete Wavelet Transform (IDWT) which based on single level transform. The novelty in this thesis are using two strategies, first one, deal with match measures are calculated as a whole to select the wavelet coefficients coming from different wavelet transform filters banking ,Second once using NLFR method, output results to compare with the chosen method so as to determine which is better. The medical fusion system implemented by MATLAB software, and analyzed the results done by Petrovic Fusion Algorithm (PFA). The method yields high scores the conventional methods. Overall this method has high potential for a better application of fusion in the medical imaging field. 2014-06 Thesis http://eprints.utm.my/id/eprint/48733/ http://eprints.utm.my/id/eprint/48733/25/SaifSaaduldeenAhmedMFKE2014.pdf application/pdf en public http://dms.library.utm.my:8080/vital/access/manager/Repository/vital:85351 masters Universiti Teknologi Malaysia, Faculty of Electrical Engineering Faculty of Electrical Engineering
institution	Universiti Teknologi Malaysia
collection	UTM Institutional Repository
language	English
topic	R Medicine (General)
spellingShingle	R Medicine (General) Ahmed, Saif Saaduldeen Wavelet based signal processing techniques for medical image fusion
description	Recently signal and image processing have been central to researchers and scholars through present various applications and solve many problems in different fields in our life. This thesis presents signal processing algorithm for multi-modal medical images by fusion technique. Medical image fusion has been used to derive texture from multi-modal medical image data. The idea is to improve the image content by fusing images like computer tomography (CT) and magnetic resonance imaging (MRI) images. This derived texture can be assisted by medical examiner for various purposes such as, diagnosing diseases, detecting the tumor, surgery treatment, and clinical treatment planning system. Our object to get more as possible better image fused high quality and clearer. Previous fusion based on the spatial domain and another depends on the frequency domain, both these strategies have disadvantages like contrast reduction, weak quality, artifact, and ringing. Therefore researchers in medical fusion field attempt to solve these problems by many algorithms are presented and are competed to improve previous results. Hence, this work present an algorithm based on Discrete Wavelet Transform (DWT) to obtain the scale and detail coefficients of the various images. Different fusion methods are also used comparing ; Non-linear fusion rule (NLFR), average mean value (AMV), maximum absolute rule (MAR), and Weighted Condition Value (WCV) to correlate the coefficients each method is used separately then produce the last result by Inverse Discrete Wavelet Transform (IDWT) which based on single level transform. The novelty in this thesis are using two strategies, first one, deal with match measures are calculated as a whole to select the wavelet coefficients coming from different wavelet transform filters banking ,Second once using NLFR method, output results to compare with the chosen method so as to determine which is better. The medical fusion system implemented by MATLAB software, and analyzed the results done by Petrovic Fusion Algorithm (PFA). The method yields high scores the conventional methods. Overall this method has high potential for a better application of fusion in the medical imaging field.
format	Thesis
qualification_level	Master's degree
author	Ahmed, Saif Saaduldeen
author_facet	Ahmed, Saif Saaduldeen
author_sort	Ahmed, Saif Saaduldeen
title	Wavelet based signal processing techniques for medical image fusion
title_short	Wavelet based signal processing techniques for medical image fusion
title_full	Wavelet based signal processing techniques for medical image fusion
title_fullStr	Wavelet based signal processing techniques for medical image fusion
title_full_unstemmed	Wavelet based signal processing techniques for medical image fusion
title_sort	wavelet based signal processing techniques for medical image fusion
granting_institution	Universiti Teknologi Malaysia, Faculty of Electrical Engineering
granting_department	Faculty of Electrical Engineering
publishDate	2014
url	http://eprints.utm.my/id/eprint/48733/25/SaifSaaduldeenAhmedMFKE2014.pdf
_version_	1747817462504620032

Wavelet based signal processing techniques for medical image fusion

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