Novel Approach for Diagnosis of Brain Diseases byUsing Mixed Scheme on MRI and CT Images

Now days, multimodal medical image has growing interest in the field of analysis and diagnosis of brain diseases. In order to obtain complementary information from multimodal input images, multimodal image fusion become widely popular. Here fusion of the input multimodal images is done either by Spatial Domain or by Transform Domain method. Limitations of Spatial domain method force us to use transform domain fusion method. Discrete Wavelet Transform is one of the popular real valued wavelet transform method of transform domain fusion, but it has disadvantages like shift sensitivity and lack of phase information. These disadvantages motivate us to use the complex Wavelet Transform. In the present work we prefer New Daubechies Complex Wavelet Transform (DCxWT) Method for multimodal image fusion.shift invariance and availability of phase information properties of DCxWT create an output fused image of greater quality. In this work we apply two separate image fusion rule for approximation and detailed coefficient