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An adaptive finite element model for steerable needles.

Michele Terzano¹, Daniele Dini², Ferdinando Rodriguez Y Baena³

¹Department of Engineering and Architecture, University of Parma, Parco Area delle Scienze 181/A, 43124, Parma, Italy.

Biomechanics and Modeling in Mechanobiology

|March 11, 2020

Summary

This summary is machine-generated.

A new adaptive finite element algorithm models steerable needle penetration into soft tissues. This simulation tool analyzes tool-tissue interactions to optimize surgical catheter design and aid pre-operative planning.

Keywords:

Cohesive elements Crack propagation Finite element method Needle insertion Needle steering Programmable bevel-tip needle

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Area of Science:

Biomechanics
Computational mechanics
Medical device simulation

Background:

Modeling flexible and steerable needle penetration into soft tissues presents significant mechanical challenges.
Understanding tool-tissue interactions is crucial for surgical procedures like biopsies and targeted drug delivery.

Purpose of the Study:

To develop and validate an adaptive finite element algorithm for simulating steerable needle penetration.
To analyze the mechanical behavior and trajectory of steerable needles during insertion into soft materials.

Main Methods:

An adaptive finite element algorithm was employed to simulate needle penetration.
A cohesive zone model described the fracture process, with crack propagation determined by strain energy density.
The simulation focused on a programmable bevel-tip needle design.

Main Results:

Simulation results demonstrated the dependence of penetration force and needle trajectory on needle-tissue stiffness and tip offset.
A near-linear relationship was observed between programmable bevel offset and needle curvature, aligning with experimental data.
The model provided detailed insights into tool-tissue interactions during penetration.

Conclusions:

The developed finite element model accurately simulates steerable needle-tissue interactions.
This simulation approach offers a reliable method for optimizing surgical catheter design and enhancing pre-operative planning.