Nonrigid Registration Based Interpolation Approach
Xudong Bao · Zhongguo yixue wulixue zazhi · 2006
For common medical slices(e.g.CT or MR),the space between neighboring pixels in a slice is often smaller than the center-to-center slice separation,while in most 3D image processing,analysis and visualization requires voxels to be isotropic.Many interpolation techniques have been proposed for processing such data.The commonly used grey level interpolation will produce artifacts or blurred contours when two given slices shift considerably.Shape-based methods achieve more reasonable interpolation results,especially the nonrigid registration based methods.This paper takes modified Rueckert's registration method to produce deformed data fields,and uses simple neighbor averaging method to interpolate scattered data.Compares to Penney's method,this one produces almost the same result image with less computation time.