Fusion of MRI and CT Images using Multi-Wavelet Based Image Fusion
Abstract
At this paper we reviewed the application of the Multi-Wavelet Transform (Haar wavelet) in the fusion of different modality medical images such as Computed Tomography (CT) and Magnetic Resonance (MR) are fused forming a new image with highly improved information content for diagnosis. In our Proposed Method, an algorithm for image fusion based on the MWT was implemented, analyzed and compared with existed Wavelet-based fusion algorithm. And further results were evaluated and provided with better efficiency measures of performance in – the ENTROPY (H), ROOT MEAN SQUARE ERROR (RMSE), PEAK SIGNAL TO NOISE RATIO (PSNR) AND CORRELATION COEFFICIENT (CC). The quantitative performance measure parameters have shown that the MWT based image fusion algorithm provides a slightly better fused image than the Wavelet algorithm.
Keywords
Image Fusion, Multi-Wavelet Transform, Wavelet Transform, Entropy, Root Mean Square Error (RMSE), Peak Signal to Noise Ratio (PSNR)