Shape-based interpolation using a chamfer distance

  • G T Herman
  • C A Bucholtz
5. Segmentation: Multi-Scale, Surfaces And Topology
Part of the Lecture Notes in Computer Science book series (LNCS, volume 511)

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.

Keywords

Tomographic imaging three-dimensional display pixel classification volume estimation performance evaluation 

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Copyright information

© Springer-Verlag 1991

Authors and Affiliations

  • G T Herman
    • 1
  • C A Bucholtz
    • 1
  1. 1.Medical Image Processing Group, Department of RadiologyUniversity of PennsylvaniaPhiladelphiaUSA

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