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The non-rigid registration between CT data and ultrasonic images of liver canfacilitate the diagnosis and treatment, which has been widely studied in recentyears. To improve the registration accuracy of the Demons model on thenon-rigid registration between 3D CT liver data and 2D ultrasonic images, anovel boundary extraction and enhancement method based on radial directionallocal intuitionistic fuzzy entropy in the polar coordinates has been putforward, and a new registration workflow has been provided. Experiments showthat our method can acquire high-accuracy registration results. Experimentsalso show that the accuracy of the results of our method is higher than that ofthe original Demons method and the Demons method using simulated ultrasonicimage by Field II. The operation time of our registration workflow is about 30seconds, and it can be used in the surgery.

Non-rigid Registration Method between 3D CT Liver Data and 2D Ultrasonic Images based on Demons Model