Normalized I-Alpha-Information for Medical Image Registration

As a similarity measure of medical image registration, f-information is studied. Mutual information is considered a special type of f-information. In order to reduce sensitivity to changes in overlap, two novel normalized I-alpha-information measures are proposed. The function curves, computational time and convergence are studied by applying these measures to rigid registration of computed tomography (CT)/magnetic resonance (MR) and MR/positron emission tomography (PET) images. The results of tests show the effectiveness of normalized I-alpha-information.