Medical robotics

Simulation Modeling

 Simulation of surgery and medical procedures requires developing models of human organs and tissues, medical devices, and interactions among them. Geometric and physical characteristics of real objects are built into virtual models which form foundation of accurate and fast computation of real-time and interactive simulations. We have been developing methods and techniques for modeling various medical simulations.



Fig. 1 Object models with different Young’s moduli



Fig. 2 Catheter models with an energy-conserving integration method [2017-, Ministry of Trade, Industry and Energy]



Fig. 3 Simulation of cutting soft tissues [2015-2017, National Research Foundation of Korea]



DOI: 10.1002/rcs.1429

DOI: 10.1002/rcs.1414

DOI: 10.1016/j.pbiomolbio.2010.09.016

DOI: 10.1002/cav.1485

Visual Rendering

 Real-time visual rendering of high-fidelity interactive medical simulation requires heavy computational load. We have been developing various methods for fast and accurate computation.



Fig. 1 Fluoroscopy rendering for angiography simulation [2015-2019, Ministry of Trade, Industry and Energy]




Fig. 2 Particle-based model of blood flow [2015-2019, Ministry of Trade, Industry and Energy]



Fig. 3 Machine-learning-based rendering of endoscopy images [2019-, National Research Foundation of Korea]

Haptic Interface for Medical Simulation

 Haptic interface provides the user’s hands with simulated sensation of high-fidelity real-time interaction. We have been developing various haptic devices and advanced control methods for a variety of medical simulations.



Fig. 1 Endoscopy simulations and haptic interfaces




Fig. 2 Simulation and haptic interface for needle intervention [2012-2017, Ministry of Trade, Industry & Energy]




Fig. 3 Simulation and haptic interface for coronary intervention [2015-2019, Ministry of Trade, Industry & Energy]




Fig. 4 Method for real-time computation of haptic rendering [2015-2018, National Research Foundation of Korea]



DOI: 10.1115/1.4030874

DOI: 10.1109/TIE.2019.2903755

Medical simulation