Comparison of Medical Image Fusion Methods using Image Quality Metrics

Abstract

This paper describes the image fusion methods used in medical field. In this project fusion of CT and MRI images are used for clinical applications. CT image of person gives information about hard tissues where as MRI gives soft tissues details. The fusion of both images gives detail information about the patient. This paper provides a new hybrid fusion method that improves the quality of image. The fusion techniques used in this project are averaging, maximum, minimum, DWT, PCA, DSWT and hybrid fusion method which is the combination of any two methods. The multi-modal fused image performance can be compared by using image Quality metrics like PSNR, MSE, RMSE, Entropy and other parameters. By observing the results, it can be proved that proposed method is more efficient for fusion purpose.