Spatial based polynomial 2D-warping-a possibility to reduceinterindividual variations in functional neuroimaging?

摘要

As an approach to reduce the variation in functional brain imagesbetween different individuals we tested different methods for an elasticimage deformation by polynomial warping. The polynomials vary in degreeand number and distribution of the grid-points. The computations showthat image warping with second degree polynomials and equallydistributed grid-points increases most efficiently the similarity ofshape and gray-values in the images whereas the tested higher degreepolynomials are not useful