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A New Mutual Information based Similarity Measure for Medical Image Registration

Reel, Parminder Singh; Dooley, Laurence S. and Wong, Patrick (2012). A New Mutual Information based Similarity Measure for Medical Image Registration. In: IET Image Processing Conference 2012, 3-4 Jul 2012, London.

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Medical image registration (IR) is the systematic process of aligning spate images, often involving different modalities with common reference framework, so complementary information can be combined and compared. This paper presents a new similarity measure which uses Expectation Maximization for Principal Component Analysis allied with mutual information (EMPCA-MI) for medical IR. The new measure has been analysed on multimodal, three band magnetic resonance images (MRI) T1, T2 and PD weighted, in the presence of both intensity non-uniformities (INU) and noise. Both quantitative and qualitative experimental results clearly demonstrate both improved robustness and lower computational complexity of the new EMPCA-MI paradigm compared with existing MI-based similarity measures, for various MRI test datasets.

Item Type: Conference or Workshop Item
Copyright Holders: 2012 IET
ISSN: 0537-9989
Extra Information: ISBN 978-1-84919-632-1
Reference PEP0600Z
Paper No: 1,2,3 - 0082
PP 1-6
Academic Unit/School: Faculty of Science, Technology, Engineering and Mathematics (STEM) > Computing and Communications
Faculty of Science, Technology, Engineering and Mathematics (STEM)
Research Group: Centre for Research in Computing (CRC)
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Item ID: 33547
Depositing User: Laurence Dooley
Date Deposited: 08 May 2012 09:48
Last Modified: 07 Dec 2018 10:14
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