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Medical Image Fusion based on Shearlets and Human Feature Visibility

by Nemir Ahmed Al-Azzawi
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 125 - Number 12
Year of Publication: 2015
Authors: Nemir Ahmed Al-Azzawi
10.5120/ijca2015906147

Nemir Ahmed Al-Azzawi . Medical Image Fusion based on Shearlets and Human Feature Visibility. International Journal of Computer Applications. 125, 12 ( September 2015), 7-12. DOI=10.5120/ijca2015906147

@article{ 10.5120/ijca2015906147,
author = { Nemir Ahmed Al-Azzawi },
title = { Medical Image Fusion based on Shearlets and Human Feature Visibility },
journal = { International Journal of Computer Applications },
issue_date = { September 2015 },
volume = { 125 },
number = { 12 },
month = { September },
year = { 2015 },
issn = { 0975-8887 },
pages = { 7-12 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume125/number12/22482-2015906147/ },
doi = { 10.5120/ijca2015906147 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T23:15:50.135583+05:30
%A Nemir Ahmed Al-Azzawi
%T Medical Image Fusion based on Shearlets and Human Feature Visibility
%J International Journal of Computer Applications
%@ 0975-8887
%V 125
%N 12
%P 7-12
%D 2015
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Medical image fusion is a technique that integrates complementary information from multimodality images. The fused image is more suitable for treatment plan strategies. In this paper, an efficient medical image fusion method has been proposed based on shearlet transform and human visibility feature as fusion rule. Image fusion rule is the solution that influences the quality of image fusion. The multimodal medical images were first decomposed using the shearlet transform then fusion rules were applied to shearlet coefficients. The low-frequency coefficients are fused by human visibility feature method. While, the high frequency coefficients are fused by the maximum selection fusion rule. The final fusion image is obtained by directly applying inverse shearlet transform to the fused coefficients. The technique proposed has successfully been used in CT/MRI image fusion for tumor diagnosis. The visual experiments and quantitative assessments demonstrate the effectiveness of this method compared to present image fusion.

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Index Terms

Computer Science
Information Sciences

Keywords

Shearlet transform medical image fusion human visibility feature multimodality CT/MRI image.

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