Matching of tree structures for registration of medical images

  • Authors:
  • Jan Hendrik Metzen;Tim Kröger;Andrea Schenk;Stephan Zidowitz;Heinz-Otto Peitgen;Xiaoyi Jiang

  • Affiliations:
  • University of Bremen, Faculty of Mathematics and Computer Science, Bremen, Germany;MeVis Research GmbH, Bremen, Germany;MeVis Research GmbH, Bremen, Germany;MeVis Research GmbH, Bremen, Germany;MeVis Research GmbH, Bremen, Germany;University of Münster, Faculty of Mathematics and Computer Science, Münster, Germany

  • Venue:
  • GbRPR'07 Proceedings of the 6th IAPR-TC-15 international conference on Graph-based representations in pattern recognition
  • Year:
  • 2007

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Abstract

Many medical applications require a registration of different images of the same organ. In many cases, such a registration is accomplished by manually placing landmarks in the images. In this paper we propose a method which is able to find reasonable landmarks automatically. To achieve this, nodes of the vessel systems, which have been extracted from the images by a segmentation algorithm, will be assigned by the so-called association graph method and the coordinates of these matched nodes can be used as landmarks for a non-rigid registration algorithm.