Title: Transform-based medical image fusion
Authors: Y. Kirankumar, S. Shenbaga Devi
Addresses: Biomedical Department, Sri SSN Engineering College, Affiliated to Anna University, Chennai-600 110, India. ' Centre for Medical Electronics, Department of Electronics and Communication Engineering, College of Engineering, Anna University, Guindy, Chennai-600 025, India
Abstract: Medical image fusion has been used to derive useful information from multi-modality medical image data. In this research, transform domain image fusion approaches for fusing medical images of two different modalities Computed Tomography and Magnetic Resonance Imaging (CT and MRI) are proposed. Wavelet transform and Karhunen-Loeve (K-L) transform are implemented with different fusion rules. The results are compared for the evaluation of performances of the methods of image fusion.
Keywords: image fusion; wavelet transform; modulus maxima; standard deviation ratio; medical imaging; medical image data; biomedical engineering; computed tomography; magnetic resonance imaging; CT; MRI; Karhunen-Loeve transform; K-L transform.
DOI: 10.1504/IJBET.2007.014140
International Journal of Biomedical Engineering and Technology, 2007 Vol.1 No.1, pp.101 - 110
Published online: 22 Jun 2007 *
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