Image Fusion of MRI and CT Images Using DTCWT

Fusing different medical Images will increase the accuracy in diagnosis of disease and describe the complicated relationship between them for medical research. The current procedures take a lot of effort and also requires additional data points for the models to be trained. In this model, Through the use of multi-stage fusion networks, we will combine various medical Images such as Magnetic Resonance Imaging (MRI) and Computed Tomography (CT) to recover the intricate information. In the proposed model, we will use Dual Tree Complex Wavelet Transform (DTCWT) to extract the complicated and correlated information from each Image and segmentation is done on fused Image to get the segmented Image. In the proposed method, the improved quality of final fused Image can be obtained.