Research

Surgical simulators provide a safe environment where novice surgeons can acquire their surgical skills. Depending on the technical implementation, one can distinguish between different simulator types.

PatientSim-System-eng
Figure 1: Structure of a Hybrid Surgical Simulator.

Model based or "Low Fidelity" simulators (also known as "Box Trainers") allow the usage of original surgical instruments on simple physical models or specimens. This affordable simulator type has limited feedback possibilities resulting in the need of immediate (subjective) trainee assessment.

Computer based or "Virtual Reality" (VR) simulators provide a detailed visualization of morphological data as well as more feedback possibilities than box trainers. The haptic feedback is usually insufficient due to complex algorithms used for tissue modelling. In most cases, real surgical instruments are not used and the costs are substantially higher.

Hybrid or "Augmented Reality" (AR) simulators as well as VR trainers belong to the so called "High Fidelity" simulators. The difference between them is that AR trainers are a combination of the aforementioned simulator types. They provide a detailed visualization, enable the usage of original surgical instruments and offer realistic haptic feedback. Only the costs have to be mentioned as a possible limiting factor.

A Hybrid Surgical Simulator combines the advantages of Model-Based and Virtual Reality Simulators and consists of

  • A Patient Phantom imitating a realistic haptic feedback by artificial anatomical structures and realizing relevant physiological processes,
  • Smart Surgical Instruments – the real surgical instruments, equipped with additional sensors for position tracking and data acquisition,
  • A data acquisition and control unit for data transfer and controlling additional actors (e.g. for realizing a simulated bleeding),
  • A software application comprising computer models for anatomical structures, physiological process, fluoroscopic simulation as well as education curricula and training scenarios.

The research areas touched by such simulators are multi-disciplinary (as indicated by the Figure 1) and includes Material Technologies for the development of artificial anatomical structures, Medical Mechatronics for improving tracking devices and for the development of smart instruments and finally Medical Informatics for the development of algorithms for improved tracking accuracy and registration as well as computer models allowing to simulate anatomical structures and physiological process.

Research Areas

The research areas within ReSSL are as follows:

  1. Artificial Bones and Soft Tissue
  2. Smart Surgical Instruments
  3. Algorithms for Fluoroscopic Simulation, Tracking and Registration
  4. Simulator Validation