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Medical Image Fusion using Ridgelet Transform

Published on December 2013 by C. Jothi, N. Elvina, P. Vetrivelan
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International Conference on Innovations In Intelligent Instrumentation, Optimization and Electrical Sciences
Foundation of Computer Science USA
ICIIIOES - Number 3
December 2013
Authors: C. Jothi, N. Elvina, P. Vetrivelan
2bdc1bca-5e0f-4f92-809b-7a4a7c114a4d

C. Jothi, N. Elvina, P. Vetrivelan . Medical Image Fusion using Ridgelet Transform. International Conference on Innovations In Intelligent Instrumentation, Optimization and Electrical Sciences. ICIIIOES, 3 (December 2013), 21-25.

@article{
author = { C. Jothi, N. Elvina, P. Vetrivelan },
title = { Medical Image Fusion using Ridgelet Transform },
journal = { International Conference on Innovations In Intelligent Instrumentation, Optimization and Electrical Sciences },
issue_date = { December 2013 },
volume = { ICIIIOES },
number = { 3 },
month = { December },
year = { 2013 },
issn = 0975-8887,
pages = { 21-25 },
numpages = 5,
url = { /proceedings/iciiioes/number3/14296-1437/ },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Proceeding Article
%1 International Conference on Innovations In Intelligent Instrumentation, Optimization and Electrical Sciences
%A C. Jothi
%A N. Elvina
%A P. Vetrivelan
%T Medical Image Fusion using Ridgelet Transform
%J International Conference on Innovations In Intelligent Instrumentation, Optimization and Electrical Sciences
%@ 0975-8887
%V ICIIIOES
%N 3
%P 21-25
%D 2013
%I International Journal of Computer Applications
Abstract

Image fusion is one of the most modern, accurate and useful diagnostic techniques in medical imaging today. The Fusion of Computed Tomography (CT) image and Magnetic Resonance (MR) image forms a new image with improved information content for diagnosis. The fused image can significantly benefit medical diagnosis and also the further image processing in computer aided diagnosis. The maximum frequency fusion rule is used for fusing the coefficients of ridgelet transform. The simulation results show that the performance of ridgelet transform is better than the wavelet transform in the fusion of CT and MR images from visual quality, Entropy and PSNR points of view.

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Index Terms

Computer Science
Information Sciences

Keywords

Ct Mr Wavelet Ridgelet Entropy Psnr.