A Framework for Automated Landmark Generation for Automated 3D Statistical Model Construction

  • Authors:
  • Alan D. Brett;Christopher J. Taylor

  • Affiliations:
  • -;-

  • Venue:
  • IPMI '99 Proceedings of the 16th International Conference on Information Processing in Medical Imaging
  • Year:
  • 1999

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Abstract

We describe a method of pairwise 3D surface correspondence for the automated generation of landmarks on a set of examples from a class of shape. We show how the pairwise corresponder can be used in an extension of an existing framework for establishing dense correspondences between a set of training examples to build a 3D statistical model. The framework relies upon additional algorithms for the production of surface paths between vertices on a polyhedral mesh, and these are described. An example statistical model is shown for the left lateral ventricle of the brain.