In this paper, MRI image fusion based onbi-dimensional Empirical Mode Decomposition and dualchannelPulse Coupled Neural Networks (PCNN) is performed. Intrinsic Mode Function (IMF) components are decomposed into high frequency and low frequency components based on energy levels. The resultant fusion coefficients are attainedusing fusion rule. High frequency and residue components are super imposed to acquire more textures. Low frequency components contain more particulars of source image and are given as input to dual channel PCNN. The resultant fused image can be achieved by inverse transformation ofBidimensional Empirical Mode Decomposition (BEMD). It is a self-adaptive tool used for analysing nonlinear data. © Research India Publications.