USING KRIGING FOR 3D MEDICAL IMAGING

We describe our implementation of kriging for interpolation of scalar values in three-dimensional medical image surface rendering and for sl ice interpolation. Kriging is an interpolation technique developed in the geosciences for estimating ore deposit spatial distributions. Krig ing has been mathematically proven to be the best (statistically optim al) linear unbiased estimation technique for spatially distributed dat a. As a byproduct of the kriging technique, kriging can calculate the estimation error for the interslice interpolated values. Kriging also offers the potential for quantifying the interpolation error in slices computed by the estimation technique. This paper presents the initial results obtained using kriging for the pre-processing operations of s lice interpolation by slice-value interpolation and interpolating voxe l values during iso-surface extraction. We found that kriging is an ac curate interpolation technique for surface rendering and for slice int erpolation. Our results indicate that kriging can duplicate the render ing results obtained with other interpolation techniques and it offers the potential for providing visually ''better'' images than are obtai ned using the other interpolation techniques we tested.