NDLI: C16. Multimodal Medical Image Registration Approach Using an Artificial Immune System for Noisy and Partial Data

Content Provider	IEEE Xplore Digital Library
Author	Omer, O.A. Abdel-Nasser, M.
Copyright Year	2013
Description	Author affiliation: Electrical Engineering Department, Aswan University, Egypt (Omer, O.A.; Abdel-Nasser, M.)
Abstract	Improvement of medical diagnosis, aided computer surgeries and tumor identification requires an accurate image registration approaches. The registration of multimodal medical images is more complicated than the registration of unimodal medical images due to the variation in luminance between the images. In this paper, an accurate multimodal image registration approach using artificial immune system (AIS) is proposed and the affine transformation model is used in contrast to the most of the related works which assumed rigid transformation model or similarity transformation model. In the proposed approach the LL bands of the discrete wavelet transform (DWT) for the images are used and the normalized mutual information (NMI) is used as a fitness function. The proposed approach achieves good result in the case of noiseless images, noisy images and partial data loss from one of the images. Moreover, the proposed approach does not need any feature extraction or refinement step. To demonstrate the robustness of the proposed approach, it has been compared with two multimodal medical image registration approaches.
Starting Page	267
Ending Page	273
File Size	1163423
Page Count	7
File Format	PDF
ISBN	9781467362191
e-ISBN	9781467362221
DOI	10.1109/NRSC.2013.6587923
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2013-04-16
Publisher Place	Egypt
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	mutual information AIS DWT unimodal multimodal
Content Type	Text
Resource Type	Article

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1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
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3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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