Bristol team refines precision of medical needles in surgical simulation

Researchers at Bristol University have discovered a way of improving the accuracy of medical needle-use in surgical simulation.

Image of simulation of medical needle
Image of simulation of medical needle - Athanasios Martsopoulos

Their development is expected to improve training for junior surgeons by reproducing an effect as similar as possible to real life delivery. It will also have the potential to be used for the development of surgical robotic solutions. The breakthrough is detailed Mathematical and Computer Modelling of Dynamical Systems.

Using the theory of continuum mechanics, which focuses on the mechanical behaviour of materials modelled as a continuous mass, the team were able to develop mathematical models of flexible medical needles that are said to be computationally efficient and highly accurate. According to Bristol University, they were able to do this without introducing unnecessary steps, which reduced the computational complexity of previous investigations.

These models are crucial for developing surgical training environments for junior doctors as well as software solutions for the pre-operative planning of surgical interventions.

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In a statement, lead author Athanasios Martsopoulos of Bristol’s Department of Aerospace Engineering, said: “The computational efficiency of the methods, combined with their accuracy allows their integration into surgical simulation environments, aimed at the training of junior surgeons.

“Surgical simulation constitutes an integral part of modern medical practices, as it offers a safe environment for surgeons to train in, but also a framework for planning, researching, and better understanding surgical interventions.”

Martsopoulos continued: “The proposed algorithms are readily available for integration with such simulation solutions and they aim to enhance their visual and haptic fidelity.”

The team now plan to use the proposed models in conjunction with computationally efficient and accurate human tissue models. This will act as the basis for modelling the dynamics of virtual surgical instruments of a fully-featured medical simulation solution.