N i r a D y n a n d E l z a F arkhi The application of spline subdivision schemes to data consisting of convex compact sets, with addition replaced by M i n k owski sums of sets, is investigated. These methods generate in the limit set-valued functions, which can be expressed explicitly in terms of linear combinations of integer shifts of B-splines with the initial data as coe cients. The subdivision techniques are used to conclude that these limit set-valued spline functions have shape preserving properties similar to those of the usual spline functions. This extension of subdivision methods from the scalar setting to the set-valued case has application in the approximate reconstruction of 3-D bodies from nite collections of their parallel cross-sections.