CT/US Image Registration Using LS-SVM

Image registration is the process of mapping coordinates between one image and another, in order to achieve a correct correspondence. Medical image is one of research field that have benefited from image registration technique. Registration of pre-operative image dataset and intra-operative images owns great value of efficiency to analyze the differences between the images, especially, in the field of radiation surgery and neurosurgery. For this purpose, we studied the appropriate mapping between CT and ultrasound image, in order to observe the possibility to perform the image guide surgery. We applied Least Square Support Vector Machine which is a tool based on a statistical learning theory, as the key technique in mapping the different data, to minimize the mapping time in the registration process. The experimental results show that the LS-SVM based image registration method yields high accuracy with simplicity of practical application.