Arithmetic harmonic mean divergence measure for elastic image registration
HU Shun-bo · Journal of Jilin University · 2009
To solve the problem of feature extraction in image registration,an automatic method to extract landmark points for elastic medical image registration is proposed.First,a new similarity measure,named as arithmetic harmonic mean divergence measure(AHM),is induced.The reference image and floating image are rigidly registered by AHM measure.Then,the two images are divided into uniform blocks.The landmarks in object are extracted by regional rigid registration by maximizing AHM measure between the corresponding subimages.According to corresponding landmarks,the global elastic registration is achieved by bicubic B-spline functions.Experiments on registration of brain Magnetic Resonance(MR) images and Computed Tomography(CT) images show that the proposed method is accurate and fast.