Vessel tree extraction using locally optimal paths

  • Authors:
  • Pechin Lo;Bram van Ginneken;Marleen de Bruijne

  • Affiliations:
  • Department of Computer Science, University of Copenhagen, Denmark;Image Sciences Institute, University Medical Center Utrecht, The Netherlands and Department of Radiology, Radboud University Nijmegen Medical Centre, The Netherlands;Department of Computer Science, University of Copenhagen, Denmark and Biomedical Imaging Group Rotterdam, Erasmus MC, Rotterdam, The Netherlands

  • Venue:
  • ISBI'10 Proceedings of the 2010 IEEE international conference on Biomedical imaging: from nano to Macro
  • Year:
  • 2010

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Abstract

This paper proposes a method to extract vessel trees by continually extending detected branches with locally optimal paths. Our approach uses a cost function from a multi scale vessel enhancement filter. Optimal paths are selected based on rules that take into account the geometric characteristics of the vessel tree. Experiments were performed on 10 low dose chest CT scans for which the pulmonary vessel trees were extracted. The proposed method is shown to extract a better connected vessel tree and extract more of the small peripheral vessels in comparison to applying a threshold on the output of the vessel enhancement filter.