NSCT Based Multimodal Fusion Technique for Medical Images

In this paper my idea is to propose a new approach for multimodal medical image fusion based on NSCT which further gone ease the work for medical images .Multimodality in medical imaging are X-ray, computed tomography (CT), magnetic resonance imaging (MRI), magnetic resonance angiography (MRA), and positron emission tomography (PET). The reason behind writing this paper is to let researcher get acquainted with idea of multimodal image using a technique called as non-sampled contourlet transform (NSCT) by the help of this technique we can capture all relevant information required for medical diagnosis non-sub sampled contourlet transform (NSCT). The two multimodality medical images are first transformed by NSCT into low- and high-frequency components followed by combining the low- and high-frequency components. Phase congruency and directive contrast are main methods which are proposed for various need of low frequency and high frequency coefficients .Finally NSCT Based method is used for medical multimodal images