Intra-operative Update of Boundary Conditions for Patient-Specific Surgical Simulation

Patient-specific Biomechanical Models (PBMs) can enhance computer assisted surgical procedures with critical information. Although pre-operative data allow to parametrize such PBMs based on each patient’s properties, they are not able fully characterize them. In particular, simulation boundary conditions cannot be determined from modalities, but their correct definition is essential improve the PBM predictive capability. this work, we introduce a pipeline that provides an up-to-date estimate of conditions, starting model patient anatomy and displacement undergone by points visible intra-operative vision sensor. The presented experimentally validated in realistic ex vivo pararenal fat tissue manipulation. We demonstrate its capability update reaching clinically acceptable performances, both terms accuracy time constraints.