Self-reproduction versus transition rules in ant colonies for medical volume segmentation

  • Authors:
  • Robert Haase;Hans-Joachim Böhme;Rosalind Perrin;Klaus Zöphel;Nasreddin Abolmaali

  • Affiliations:
  • Medical Faculty Carl Gustav Carus, TU Dresden, OncoRay, Germany;Faculty of Computer Science/Mathematics, HTW Dresden, Germany;Medical Faculty Carl Gustav Carus, TU Dresden, OncoRay, Germany;TU Dresden, University Hospital Carl Gustav Carus, Germany;Medical Faculty Carl Gustav Carus, TU Dresden, OncoRay, Germany,TU Dresden, University Hospital Carl Gustav Carus, Germany

  • Venue:
  • ANTS'12 Proceedings of the 8th international conference on Swarm Intelligence
  • Year:
  • 2012

Quantified Score

Hi-index 0.00

Visualization

Abstract

Target volume delineation in image stacks resulting from low contrast positron emission tomography (PET) remains a hot topic in the field of medical image processing. We propose an algorithm based on artificial ants moving in three dimensional image space controlled by transition rules which are able to self-reproduce. This investigation shows by variation of the transition rules that the impact on segmentation results is small because self-reproduction is the overwhelming effect in the simulation.