A Method to Compute Respiration Parameters for Patient-based Simulators

Abstract

We propose a method to automatically tune a patient-based virtual environment training simulator for abdominal needle insertion. The key attributes to be customized in our framework are the elasticity of soft-tissues and the respiratory model parameters. The estimation is based on two 3D Computed Tomography (CT) scans of the same patient at two different time steps. Results are presented on five patients and show that our new method leads to better results than our previous studies with manually tuned parameters.

Citation

P.-F. Villard, F. P. Vidal, F. Bello, and N. W. John, “A Method to Compute Respiration Parameters for Patient-based Simulators,” in Proceeding of Medicine Meets Virtual Reality 19 - NextMed (MMVR19), Newport Beach, California, 2012, vol. 173, pp. 529–533.

Bibtex

@inproceedings{Villard2012MMVR,
  author = {Villard, {P.-F.} and Vidal, F. P. and Bello, F. and John, N. W.},
  title = {A Method to Compute Respiration Parameters for Patient-based
      Simulators},
  booktitle = {Proceeding of Medicine Meets Virtual Reality 19 - NextMed
      (MMVR19)},
  year = {2012},
  series = {Studies in Health Technology and Informatics},
  volume = {173},
  pages = {529-533},
  month = feb,
  address = {Newport Beach, California},
  annotation = {Feb~9--11, 2012},
  note = {Winner of the best poster award},
  pmid = {22357051},
  publisher = {IOS Press}
}