Data acquisition and development of a trocar insertion simulator using synthetic tissue models

Area of Science:

• Medical simulation
• Surgical training technology
• Biomechanical engineering

Background:

• Realistic surgical simulation is crucial for training.
• Acquiring diverse and reproducible tissue data for simulators is challenging.
• Existing methods lack the ability to cover a wide range of pathological conditions.

Purpose of the Study:

• To investigate the use of synthetic surrogate tissue for generating reproducible puncture force data.
• To develop a simulation model for trocar insertion by mapping synthetic tissue data to real tissue data.
• To create a cost-effective and versatile data source for surgical simulators.

Main Methods:

• Development of an experimental setup to collect puncture force data from synthetic surrogate tissue.
• Utilizing a bladeless trocar for data acquisition on synthetic tissue.
• Proposing a method to map synthetic tissue data to animal/human tissue data.

Main Results:

• The study demonstrates the feasibility of using synthetic tissue to collect puncture force data.
• A methodology for mapping synthetic data to real tissue data is proposed.
• The developed setup allows for reproducible data collection.

Conclusions:

• Synthetic surrogate tissue offers a viable and reproducible method for generating data for surgical simulators.
• The proposed data mapping technique can enhance the realism of trocar insertion simulations.
• This approach facilitates the creation of diverse pathological case simulations for improved surgical training.