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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
http://eprints.utm.my/id/eprint/48733/
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spelling my.utm.487332020-06-21T01:13:45Z http://eprints.utm.my/id/eprint/48733/ Wavelet based signal processing techniques for medical image fusion 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 NonPeerReviewed application/pdf en http://eprints.utm.my/id/eprint/48733/25/SaifSaaduldeenAhmedMFKE2014.pdf Ahmed, Saif Saaduldeen (2014) Wavelet based signal processing techniques for medical image fusion. Masters thesis, Universiti Teknologi Malaysia, Faculty of Electrical Engineering. http://dms.library.utm.my:8080/vital/access/manager/Repository/vital:85351
institution Universiti Teknologi Malaysia
building UTM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknologi Malaysia
content_source UTM Institutional Repository
url_provider http://eprints.utm.my/
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
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
publishDate 2014
url http://eprints.utm.my/id/eprint/48733/25/SaifSaaduldeenAhmedMFKE2014.pdf
http://eprints.utm.my/id/eprint/48733/
http://dms.library.utm.my:8080/vital/access/manager/Repository/vital:85351
_version_ 1672610462123950080
score 13.211869

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