Title :
Statistically optimal interslice value interpolation in 3D medical imaging: theory and implementation
Author :
Parrott, Rob W. ; Stytz, Martin R. ; Amburn, Phil ; Robinson, David
Author_Institution :
Air Force Inst. of Technol., Wright-Patterson AFB, OH, USA
Abstract :
Describes a technique for statistically optimal interslice interpolation of scalar values for use in three-dimensional medical image rendering. The interpolation technique is based upon kriging, which is known to be the best linear unbiased estimation technique for spatially distributed data. The authors present the results obtained using kriging in the object space preprocessing operation of slice interpolation by slice-value interpolation. As a byproduct of the technique, kriging calculates the estimation error for the interslice values. This makes it possible to quantify the interpolation error in slices computed by the estimation technique
Keywords :
estimation theory; interpolation; medical image processing; optimisation; statistics; 3D medical imaging; image rendering; interpolation error; kriging; linear unbiased estimation technique; object space preprocessing operation; scalar values; slice-value interpolation; spatially distributed data; statistically optimal interslice interpolation; Biomedical imaging; Estimation error; Government; Interpolation; Layout; Nearest neighbor searches; Ores; Protection; Rendering (computer graphics); Sampling methods;
Conference_Titel :
Computer-Based Medical Systems, 1992. Proceedings., Fifth Annual IEEE Symposium on
Conference_Location :
Durham, NC
Print_ISBN :
0-8186-2742-5
DOI :
10.1109/CBMS.1992.244938
