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Abstract
In this study we present a kinematic approach for modeling needle insertion into soft tissues. The kinematic approach allows the presentation of the problem as Dirichlet-type (i.e. driven by enforced motion of boundaries) and therefore weakly sensitive to unknown properties of the tissues and needle-tissue interaction. The parameters used in the kinematic approach are straightforward to determine from images. Our method uses Meshless Total Lagrangian Explicit Dynamics (MTLED) method to compute soft tissue deformations. The proposed scheme was validated against experiments of needle insertion into silicone gel samples. We also present a simulation of needle insertion into the brain demonstrating the method’s insensitivity to assumed mechanical properties of tissue.
Original language | English |
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Article number | e0242704 |
Pages (from-to) | 1-31 |
Journal | PLoS One |
Volume | 15 |
Issue number | 12 December |
DOIs | |
Publication status | Published - 22 Dec 2020 |
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Dive into the research topics of 'Mathematical modeling and computer simulation of needle insertion into soft tissue'. Together they form a unique fingerprint.Projects
- 1 Finished
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Biomechanics Meets Robotics: Methods for Accurate and Fast Needle Targeting
Wittek, A. (Investigator 01), Singh, S. (Investigator 02), Miller, K. (Investigator 03), Hannaford, B. (Investigator 04) & Fichtinger, G. (Investigator 05)
ARC Australian Research Council
1/01/16 → 31/03/22
Project: Research