Mutual Information Based Image Registration for Medical Imaging

Abstract

Image registration is the process of overlaying images (two or more) of the same scene taken at different times, from different viewpoints, and/or by different sensors. Image registration geometrically aligns two images (the reference and test images). This thesis discusses about the medical image registration by using correlation with mutual information. It also mentions about the problematic issue that arises during the feature matching stage in the mutual information based medical image registration. The matched results shows that by changing (can be decreasing or increasing depending on the image) the windows size of the image more matched points can be obtained. This thesis also focuses on registration of two images which are rotationally misaligned and gives the procedure to measure this angle of rotation using mutual information. Typically,registration application are in remote sensing, image mosaicing, weather forecasting, super-resolution image creation, in medicine (computerized tomography (CT) and magnetic resonance image (MRI) combining in order to obtain more complete information about the patient, monitoring tumor growth etc. This thesis describes image mosaicing by using mutual information.Here image mosaicing has been discussed for both medical and satellite images. The thesis concludes with results obtained by applying above mentioned techniques and also provides with the possible changes that could be made in future for obtaining better results.