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Efficient Cutting for Haptic Surgery Simulation using Hybrid Deformation Models
This research project aims to expand Symgery’s line of surgical training products by simulating cutting and tearing of physical models in real-time. Cutting and tearing of simulated models typically requires additional computational overhead due to post-processing of the volumetric mesh. However, our approach will render the process to be more efficient by using a hybrid model that combines continuum FEM models with mass-spring systems within a position based dynamics (PBD) framework. Implementation on a GPU and multi-core CPU will further improve performance.
Faculty Supervisor:
Sheldon Andrews
Student:
Partner:
Symgery Inc
Discipline:
Computer science
Sector:
Manufacturing
University:
École de technologie supérieure
Program:
Accelerate
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Mitacs is funded by the Government of Canada, the Government of Alberta, the Government of British Columbia, Research Manitoba, the Government of New Brunswick, the Government of Newfoundland and Labrador, the Government of Nova Scotia, the Government of Ontario, Innovation PEI, the Government of Quebec, the Government of Saskatchewan, and the Government of Yukon.