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Reseach Article

Multimodal Image Registration for Medical Images

Published on September 2015 by Anuj D. Budhia, Soumyabrata Ghosh, Roshni Padte
CAE Proceedings on International Conference on Communication Technology
Foundation of Computer Science USA
ICCT2015 - Number 6
September 2015
Authors: Anuj D. Budhia, Soumyabrata Ghosh, Roshni Padte
0dd01c98-2cbe-4d46-ba86-42097045eb2e

Anuj D. Budhia, Soumyabrata Ghosh, Roshni Padte . Multimodal Image Registration for Medical Images. CAE Proceedings on International Conference on Communication Technology. ICCT2015, 6 (September 2015), 19-23.

@article{
author = { Anuj D. Budhia, Soumyabrata Ghosh, Roshni Padte },
title = { Multimodal Image Registration for Medical Images },
journal = { CAE Proceedings on International Conference on Communication Technology },
issue_date = { September 2015 },
volume = { ICCT2015 },
number = { 6 },
month = { September },
year = { 2015 },
issn = 0975-8887,
pages = { 19-23 },
numpages = 5,
url = { /proceedings/icct2015/number6/22674-1579/ },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Proceeding Article
%1 CAE Proceedings on International Conference on Communication Technology
%A Anuj D. Budhia
%A Soumyabrata Ghosh
%A Roshni Padte
%T Multimodal Image Registration for Medical Images
%J CAE Proceedings on International Conference on Communication Technology
%@ 0975-8887
%V ICCT2015
%N 6
%P 19-23
%D 2015
%I International Journal of Computer Applications
Abstract

In this paper, a technique for registering medical images captured through different modalities with focus on portal image is been discussed. Earlier template matching was used to register satellite images, but it does not serve the purpose as images are from different modalities and same objects are represented with different intensity values. Mutual information based techniques outperform other multimodal techniques for this application because of inherently poor quality acquired image through MV image during patient treatment. This technique will suffer if image is very blurry. The technique is to maximize the mutual information between two images using gradient ascent method.

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Index Terms

Computer Science
Information Sciences

Keywords

Registration Computer Vision Information Theory Optimisation Entropy