Mean Divergence Measures for Medical Image Registration
基于均值距离测度的医学图像配准

In order to improve registration speed of mutual information measure, the mean divergence measures are used as the similarity measure of medical image registration. The square root arithmetic mean divergence (SAM), square root geometric mean divergence (SGM), square root harmonic mean divergence (SHM), arithmetic geometric mean divergence (AGM), and arithmetic harmonic mean divergence (AHM) measures are applied to rigid registration of computed tomography (CT)/ magnetic resonance (MR) and MR-T1/PD images. The function curves, registration accuracy, registration time and convergence of these measures are studied in comparison with that of mutual information. The results show that the proposed registration measures have similar function curves and accuracy with mutual information, and the AHM and SAM measures have significant improvements in registration speed.