Registration of Multimodal Medical Images

Medical images are increasingly being used within healthcare for diagnosis, planning treatment, guiding treatment and monitoring disease progression. Within medical research (e.g. neuroscience research) they are used to investigate disease processes and understand normal development and ageing. Technically, medical imaging mainly processes missing, ambiguous, complementary, redundant and distorted data. In this paper, we propose a set of MR-CT image registration methods by using spatial models like rigid, affine and projective transformations. The registered and fused image contains the properties and details of both MR and CT images and can efficiently be used in clinical medicine.