A Teleconsultation System for Medical Image Fusion

This paper explores different medical image fusion methods and their comparison to find out which fusion method gives better results based on the performance parameters to be a part of medical image teleconsultation system. The teleconsultation in medical diagnosis done by combining images obtained by Computed Tomography (CT) scan and Magnetic Resonance Imaging (MRI) so we get more information and additional data from several different resources to be combined as one fused image. For this, Wavelet Transform, Contourlet Transform and Curvelet transform and its experimental results are employed, evaluated and compared based on its Root Mean Square Error (RMSE), Weighted Peak Signal to Noise Ratio (WPSNR), Mutual Information (MI), Correlation Coefficient (CC) and Entropy (H). Comparison results demonstrate the achievement of better performance of fusion by using Curvelet transform.