Choice of Similarity Measure in Voxel Intensity Based 3D Multi-modal Medical Image Registration
Abstract：Objective To find out the most appropriate similarity measure for clinical use by comparison research on similarity measures commonly used in voxel intensity based multi-modal medical image registration. Method Under extreme rigid registration condition, correlation coefficient,mutual information and correlation ratio similarity measures were tested as most suitable similarity measures. It was explained why mutual information, but not correlation ratio based medical image registration be easily trapped in the local optimization maximum. At last, using accelerated multi-resolution registration scheme and powell′s optimization algorithm, experiments based on clinical medical images were implemented to evaluate the correlation ratio similarity measure for multi-modal medical image registration. Result Judged by clinical expert,correlation ratio based multi-modal medical image registration method worked well for clinical application, the effect of correlation ratio based, 3D MR/CT and MR/PET, multi-modal medical image registration was promising for clinical use. Conclusion Compared with other similarity measures, correlation ratio is more appropriate and accurate for 3D multi-modal medical image registration.
Keywords：multi-modal medical imageregistrationsimilarity measurevoxel intensitycorrelation ratiomutual informationmulti-resolution
Publication Date：2002-01-01
Online Publishing Date：2025-08-15(First online date of this platform, not the publication date of the document)
Pages：5( 241-245 )