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Generation of Pathologies for Surgical Training Simulators

R. Sierra, G. Székely and M. Bajka
Procs. of the Fifth International Conference on Medical Image Computing and Computer-Assisted Intervention
Tokyo, Japan, September 2002

Abstract

In the past few years virtual reality based systems have been proposed and realized for many medical interventions. These simulators have the potential to provide training on a wide variety of pathologies. So far, realistic generation of anatomical variance and pathologies have not been treated as a specific issue. We report on a cellular automaton, specially developed to generate macroscopic findings fulfilling the requirements for a sophisticated simulation. The specific pathology investigated are leiomyomas protruding to different extents into the uterine cavity. The automaton presented is part of a virtual reality based hysteroscopy simulator which is currently under development.


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@InProceedings{eth_biwi_00261,
  author = {R. Sierra and G. Székely and M. Bajka},
  title = {Generation of Pathologies for Surgical Training Simulators},
  booktitle = {Procs. of the Fifth International Conference on Medical Image Computing and Computer-Assisted Intervention},
  year = {2002},
  month = {September},
  pages = {202-210},
  volume = {2},
  editor = {T. Dohi and R. Kikinis},
  publisher = {Springer Verlag},
  keywords = {Pathology Growth Model, Cellular Automation, Surgical Training Simulation, Hysteroscopy, Myoma}
}