Абстрактный

Multimodel Medical Image Fusion in NSCT

K.Kumar, M.Rathika, N.Sivakumar

A medical image fusion is a very powerful tool in clinical applications. The main idea of this project is to collect the most relevant information from the input images into single output image, which play an essential role in medical diagnosis. A fusion framework is proposed for multimodal medical images based on non-sub sampled contourlet transform (NSCT). The input images are first transformed by NSCT followed by combining low and high frequency components to fuse low and high frequency coefficients. The applicability of the proposed work is carried out in the clinical application such as, examples of persons affected with recurrent tumor, Alzheimer, sub acute stroke.