Validation of 2D/3D Medical Image Registration Accuracy for Orthopedic Surgery Navigation Systems
Objective:The registration of 2D/3D medical images is a crucial aspect of orthopedic surgical navigation systems.This paper presents a novel approach to quantitatively evaluate the precision of image registration and validate its accuracy.Methods:A GPU-accelerated automatic registration algorithm for X-ray and CT images was used to obtain positive samples and a random offset was added to the positive sample results as the negative samples.Then the accuracy was verified according to the new method group and the reprojection error group.Results:The registration error of the new method group verification for positive and negative samples were(0.304±0.073)mm,(27.816±9.506)mm.Reprojection error sets verify that the registration error sets in the positive and negative samples were(0.304±0.073)mm,(27.816±9.506)mm.The image registration effect and the relationship between the registration error and the registration matrix showed that the method proposed in this paper was positively correlated with the registration effect and can quantitatively evaluate the accuracy of the registration results.Conclusion:The presented technique showcasing the registration accuracy was better than the reprojection error.Disregarding recognition and calibration errors,it enables a numerical assessment of the accuracy of CT and X-ray image registration.This offers dependable technical assistance for the use of orthopedic surgical navigation systems.