A multimodal image registration using mutual information

Medical imaging is the technique and process used to create images of the human body for clinical purposes seeking to reveal, diagnose medical science. It is often perceived to designate the set of techniques that noninvasively produce images of the internal aspect of the body. The development of multimodality methodology based on nuclear medicine (NM), positron emission tomography (PET) imaging, magnetic resonance imaging (MRI), and optical imaging is the single biggest focus in many imaging and cancer centres worldwide and is bringing together researchers and engineers from the farranging fields of molecular pharmacology to nanotechnology engineering. This paper presents a new technique for registration of multimodal images (CT and MRI) using mutual information. The optimization of the images is done by using down sampling technique and also the same algorithm is tested by sub sampling. The speed and computation of both the sampling methods are compared and the results are plotted.