2D-3D Medical Image Registration based on Modified Sum of Local Normalized Correlation
Jianyi Li · Journal of Biomedical Engineering Research · 2007
A 2D-3D medical image registration method based on modified SLNC(sum of local normalized correlationS,LNC) function was presented.After linear interpolation,the original 3D CT data had the same resolution in all three directions.By using digitally reconstruction in different positions with the algorithm of “Ray Tracing,” a series of synthetic images were achieved,which are known as digitally reconstructed radiographs(DRRs).On the basis of gray value rescaling,the registration method depending on modified SLNC function was used as similarity measure to estimate similarity between synthetic image and radiograph.A hybrid optimization algorithm combined by Powell and Brent,was also involved to find out both position and orientation of the target.This method has already been applied to the rigid registration of fluoroscopy image gotten from mobile biplane digital fluoroscopy system Biplanar 500 and CT data,the registration result is pretty good.