TY - GEN
T1 - A haptic surgical simulator for laparoscopic cholecystectomy using real-time deformable organs
AU - Webster, Roger
AU - Haluck, Randy S.
AU - Zoppetti, Gary
AU - Benson, Aaron
AU - Boyd, Josh
AU - Charles, Nathan
AU - Reeser, Jon
AU - Sampson, Shanna
PY - 2003
Y1 - 2003
N2 - This paper describes a laparoscopic cholecystectomy surgical training software system we have developed using the Immersion Laparoscopic Surgical Workstation™ and the Verefi Technologies USB thirty-degree endoscopie Vcamera™ hardware. The trainer is designed to train and test for many laparoscopic skills such as manipulation of the laparoscope, grasping and stretching the gallbladder to expose the cystic duct, applying a clip to the cystic duct, cutting the cystic duct, and removing the gallbladder from the abdomen. A texture motion algorithm simulates patient breathing. The gallbladder, cystic duct, and bile ducts are deformed using a physically based particle model with a mass-springs-damper connectivity. We developed an implicit predictor to speed up calculations during each time step. The solution involves repeated application of Newton's 2nd Law of motion (F = ma), using the implicit solver for numerically solving the differential equations. The intent is to provide an effective method to learn the laparoscopic cholecystectomy procedure using a surgical simulator.
AB - This paper describes a laparoscopic cholecystectomy surgical training software system we have developed using the Immersion Laparoscopic Surgical Workstation™ and the Verefi Technologies USB thirty-degree endoscopie Vcamera™ hardware. The trainer is designed to train and test for many laparoscopic skills such as manipulation of the laparoscope, grasping and stretching the gallbladder to expose the cystic duct, applying a clip to the cystic duct, cutting the cystic duct, and removing the gallbladder from the abdomen. A texture motion algorithm simulates patient breathing. The gallbladder, cystic duct, and bile ducts are deformed using a physically based particle model with a mass-springs-damper connectivity. We developed an implicit predictor to speed up calculations during each time step. The solution involves repeated application of Newton's 2nd Law of motion (F = ma), using the implicit solver for numerically solving the differential equations. The intent is to provide an effective method to learn the laparoscopic cholecystectomy procedure using a surgical simulator.
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M3 - Conference contribution
AN - SCOPUS:2642536179
SN - 0889863539
T3 - Proceedings of the IASTED International Conference on Biomedical Engineering
SP - 219
EP - 222
BT - Proceedings of the IASTED International Conference on Biomedical Engineering
A2 - Hamza, M.H.
T2 - Proceedings of the IASTED International Conference on Biomedical Engineering
Y2 - 25 June 2003 through 27 June 2003
ER -