Wavelet-based texture fusion of CT/MRI images

Medical image fusion of computer tomography (CT) and magnetic resonance imaging (MRI) is to obtain more information from the CT and MRI respectively. In this paper, we present a wavelet-based texture fusion of CT/MRI images. Wavelet transform is employed to extract energy and regional information entropy of texture features from images. In the process of fusion, we adopt the fusion rule of energy maximum for the wavelet low-frequency coefficients; give the fusion rule according to the comparison of energy and regional information entropy contrast between CT/MRI images for the wavelet high-frequency coefficients. Finally, obtain the fused medical image via inverse wavelet transform. We select two groups of CT/MRI images to simulate, and compare our simulation results with the most common wavelet transform fusion algorithm. The simulation results and fusion performance index show that the presented method is effective.