Shape-based interpolation using a chamfer distance

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Abstract

Shape-based interpolation is a methodology to estimate the locations of the picture elements (pixels) which would be contained in an organ of interest in non-existent slices through the human body from the locations of the pixels in the organ in slices that have been obtained by a tomographic imager. In this paper we motivate the need for shape-based interpolation and report on some quantitative experiments which were done to evaluate the relative performance of a number of interpolation methods for tomographic imaging of the human body. In particular, we introduce the new notion of shape-based interpolation using a chamfer distance and show that a statistically extremely significant improvement over previously proposed methods is achieved by this newly proposed interpolation method.