Combination of the Cellular Potts Model and Lattice Gas Cellular Automata for Simulating the Avascular Cancer Growth

  • Mehrdad Ghaemi
  • Amene Shahrokhi
Part of the Lecture Notes in Computer Science book series (LNCS, volume 4173)


The advantage of Cellular Potts Model (CPM) is due to its ability for introducing cell-cell interaction based on the well known statistical model i.e. the Potts model. On the other hand, Lattice gas Cellular Automata (LGCA) can simulate movement of cell in a simple and correct physical way. These characters of CPM and LGCA have been combined in a reaction-diffusion frame to simulate the dynamic of avascular cancer growth on a more physical basis.The cellular automaton is evolved on a square lattice on which in the diffusion step tumor cells (C) and necrotic cells (N) propagate in two dimensions and in the reaction step every cell can proliferate, be quiescent or die due to the apoptosis and the necrosis depending on its environment. The transition probabilities in the reaction step have been calculated by the Glauber algorithm and depend on the K CC , K NC , and K NN (cancer-cancer, necrotic-cancer, and necrotic-necrotic couplings respectively). It is shown the main feature of the cancer growth depends on the choice of magnitude of couplings and the advantage of this method compared to other methods is due to the fact that it needs only three parameters K CC , K NC and K NN which are based on the well known physical ground i.e. the Potts model.


Cellular Automaton Necrotic Cell Cellular Automaton Inner Core Cancer Growth 
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Copyright information

© Springer-Verlag Berlin Heidelberg 2006

Authors and Affiliations

  • Mehrdad Ghaemi
    • 1
  • Amene Shahrokhi
    • 2
  1. 1.Department of ChemistryTeacher Training UniversityTehranIran
  2. 2.District Health Center Shahre Ray, Vice-Chancellor for HealthTehran University of Medical ScienceTehranIran

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