Title: Multimodal medical image fusion using multi-resolution transform

Authors: Abdelfatih Bengana; Mohammed Amine Chikh; Ismail Boukli Hacene

Addresses: Biomedical Laboratory, Department of Electrics and Electronics, Technology Faculty, University of Tlemcen, 13000, Chetouane, Algeria ' Biomedical Laboratory, Department of Electrics and Electronics, Technology Faculty, University of Tlemcen, 13000, Chetouane, Algeria ' Biomedical Laboratory, Department of Electrics and Electronics, Technology Faculty, University of Tlemcen, 13000, Chetouane, Algeria

Abstract: Multimodal image fusion is used to enhance the quality of fused image in medical diagnosis by combining two images 'same scene' from different techniques, such as Computed Tomography (CT) scan or Magnetic Resonance Imaging (MRI) with Positron Emission Tomography (PET). In this paper, we present a hybrid technique using non-subsampled contourlet for contrast-enhancement to balance the requirement of local and global contrast enhancements of each input image appearance and biorthogonal CDF9/7 wavelet based on lifting scheme. Then the low frequency sub-bands are combined by a maximal selection rule and the high frequency sub-bands are combined by a maximal spatial frequency. In this technique, the proposed scheme is free from the common shortcomings of the state-of-the-art MIF techniques: contrast reduction, loss of image fine details and unwanted image degradations etc. Subjective and objective evaluations show better performance of this new approach compared to existing techniques. This shows that the quality of fused image was better compared with existing methods in case of hybrid method.

Keywords: image fusion; medical image; multi-scale transforms; wavelet CDF9/7; lifting scheme; NSCT.

DOI: 10.1504/IJBET.2018.094124

International Journal of Biomedical Engineering and Technology, 2018 Vol.27 No.3, pp.221 - 232

Received: 08 Mar 2016
Accepted: 26 Aug 2016

Published online: 06 Aug 2018 *

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