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The Scientific World Journal
Volume 2014 (2014), Article ID 708075, 8 pages
http://dx.doi.org/10.1155/2014/708075
Research Article

MRI and PET Image Fusion Using Fuzzy Logic and Image Local Features

1Faculty of Engineering and Technology, International Islamic University, Islamabad 44000, Pakistan
2School of Engineering and Applied Sciences, Isra University, Islamabad 44000, Pakistan
3College of Signals, National University of Sciences and Technology, Islamabad 44000, Pakistan

Received 7 August 2013; Accepted 29 October 2013; Published 19 January 2014

Academic Editors: S. Bourennane and J. Marot

Copyright © 2014 Umer Javed et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Abstract

An image fusion technique for magnetic resonance imaging (MRI) and positron emission tomography (PET) using local features and fuzzy logic is presented. The aim of proposed technique is to maximally combine useful information present in MRI and PET images. Image local features are extracted and combined with fuzzy logic to compute weights for each pixel. Simulation results show that the proposed scheme produces significantly better results compared to state-of-art schemes.