Medical image registration based on generalized entropy measures
HU Shun-bo · Computer Engineering and Applications Journal · 2008
In order to reduce local maximum and misregistration of mutual information in medical image registration,three information measures based on generalized entropy instead of the Shannon entropy,named as FRI-alpha,SRI-alpha and GMI-t information measures,are proposed.The convergence width and radius are used for evaluating the measure convergence.The computing time,convergence and accuracy are studied by applying these measures to rigid registration of Computed Tomography(CT)/Magnetic Resonance(MR) and MR-T1/T2 simulated images.The results of tests show that the generalized entropy measures outperform normalized mutual information in convergence performance,without compromising computational speed and registration accuracy.