TY - GEN

T1 - A Method to Compute Respiration Parameters for Patient-based Simulators

AU - Villard, P.-F.

AU - Vidal, F. P.

AU - Bello, F.

AU - John, N. W.

N1 - Winner of the best poster award

PY - 2012/2/1

Y1 - 2012/2/1

N2 - 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.

AB - 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.

M3 - Conference contribution

SN - 978-1-61499-021-5

VL - 173

T3 - Studies in Health Technology and Informatics

SP - 529

EP - 533

BT - Proceeding of Medicine Meets Virtual Reality 19 - NextMed (MMVR19)

PB - IOS Press

CY - Newport Beach, California

T2 - Medicine Meets Virtual Reality 19

Y2 - 9 February 2012 through 11 February 2012

ER -