Strathprints logo
Strathprints Home | Open Access | Browse | Search | User area | Copyright | Help | Library Home | SUPrimo

A new divergence measure for medical image registration

Martin, S. and Durrani, T.S. (2007) A new divergence measure for medical image registration. IEEE Transactions on Image Processing, 16 (4). pp. 957-966. ISSN 1057-7149

Full text not available in this repository. (Request a copy from the Strathclyde author)

Abstract

A new type of divergence measure for the registration of medical images is introduced that exploits the properties of the modified Bessel functions of the second kind. The properties of the proposed divergence coefficient are analysed and compared with those of the classic measures, including Kullback-Leibler, Renyi, and Ialpha divergences. To ensure its effectiveness and widespread applicability to any arbitrary set of data types, the performance of the new measure is analysed for Gaussian, exponential, and other advanced probability density functions. The results verify its robustness. Finally, the new divergence measure is used in the registration of CT to MR medical images to validate the improvement in registration accuracy

Item type: Article
ID code: 5162
Keywords: divergence measure, image registration, modified Bessel function, Electrical engineering. Electronics Nuclear engineering, Computer Graphics and Computer-Aided Design, Software
Subjects: Technology > Electrical engineering. Electronics Nuclear engineering
Department: Faculty of Engineering > Electronic and Electrical Engineering
Unknown Department
Related URLs:
Depositing user: Strathprints Administrator
Date Deposited: 14 Jan 2008
Last modified: 04 Sep 2014 18:05
URI: http://strathprints.strath.ac.uk/id/eprint/5162

Actions (login required)

View Item