ArticlePloS one2020
Mathematical modeling and computer simulation of needle insertion into soft tissue.
Article in PloS one, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
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Who cites it
6 citing papers in PubMed.
- Dynamic Force Modeling and Lateral Perturbation Analysis of Needle Insertion into Soft Tissues.Bioengineering (Basel, Switzerland) · 2026Article
- Impact of Injection-Based Delivery Parameters on Local Distribution Volume of Ethyl-Cellulose Ethanol Gel in Tissue and Tissue Mimicking Phantoms.IEEE transactions on bio-medical engineering · 2024Article
- PersonalisedFrontiers in physiology · 2024Article
- Toward FBG-Sensorized Needle Shape Prediction in Tissue Insertions.Proceedings of the ... IEEE/RSJ International Conference on Intelligent Robots and Systems. IEEE/RSJ International Conference on Intelligent Robots and Systems · 2022Article
- Automatic framework for patient-specific modelling of tumour resection-induced brain shift.Computers in biology and medicine · 2022Article
- Effective Viscoplastic-Softening Model Suitable for Brain Impact Modelling.Materials (Basel, Switzerland) · 2022Article
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Authors and funding
6 authors.
Funding
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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.
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