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Omer, O., Abdel-Nasser, M. (2013). REGION BASED MEDICAL IMAGE REGISTRATION APPROACH USING A MODIFIED ARTIFICIAL IMMUNE SYSTEM. JES. Journal of Engineering Sciences, 41(No 1), 171-181. doi: 10.21608/jesaun.2013.114700
Osama A. Omer; Mohamed Abdel-Nasser. "REGION BASED MEDICAL IMAGE REGISTRATION APPROACH USING A MODIFIED ARTIFICIAL IMMUNE SYSTEM". JES. Journal of Engineering Sciences, 41, No 1, 2013, 171-181. doi: 10.21608/jesaun.2013.114700
Omer, O., Abdel-Nasser, M. (2013). 'REGION BASED MEDICAL IMAGE REGISTRATION APPROACH USING A MODIFIED ARTIFICIAL IMMUNE SYSTEM', JES. Journal of Engineering Sciences, 41(No 1), pp. 171-181. doi: 10.21608/jesaun.2013.114700
Omer, O., Abdel-Nasser, M. REGION BASED MEDICAL IMAGE REGISTRATION APPROACH USING A MODIFIED ARTIFICIAL IMMUNE SYSTEM. JES. Journal of Engineering Sciences, 2013; 41(No 1): 171-181. doi: 10.21608/jesaun.2013.114700

REGION BASED MEDICAL IMAGE REGISTRATION APPROACH USING A MODIFIED ARTIFICIAL IMMUNE SYSTEM

Article 10, Volume 41, No 1, January and February 2013, Page 171-181  XML PDF (316.33 K)
Document Type: Research Paper
DOI: 10.21608/jesaun.2013.114700
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Authors
Osama A. Omer; Mohamed Abdel-Nasser
Electrical Engineering Department, Aswan University Aswan 81542, Egypt
Abstract
A high accuracy medical image registration is needed to achieve an efficient medical diagnosis and computer aided surgeries, so that a novel region based medical image registration approach is presented in this paper. This approach consists of four sequential steps, image segmentation, point correspondence using a modified artificial immune system, point selection and finally LMS technique is used to estimate the warp parameters. The proposed approach provides a high accuracy and it doesn’t require any additional treatment or feature extraction as some other methods do. To demonstrate the effectiveness of the proposed approach it tested for many image pairs and it is compared with many registration algorithms such aspoint-based image registration using an artificial immune system (AIS),ICP and RANSAC algorithms.
Keywords
Segmentation; AIS; correspondence; registration
Main Subjects
Electrical Engineering, Computer Engineering and Electrical power and machines engineering.
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