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Simulation and experimental studies in needle–tissue interactions

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Abstract

This work aims to introduce a new needle insertion simulation to predict the deflection of a bevel-tip needle inside soft tissue. The development of such a model, which predicts the steering behavior of the needle during needle-tissue interactions, could improve the performance of many percutaneous needle-based procedures such as brachytherapy and thermal ablation, by means of the virtual path planning and training systems of the needle toward the target and thus reducing possible incidents of complications in clinical practices. The Arbitrary–Lagrangian–Eulerian (ALE) formulation in LS-DYNA software was used to model the solid–fluid interactions between the needle and tissue. Since both large deformation and fracture of the continuum need to be considered in this model, applying ALE method for fluid analysis was considered a suitable approach. A 150 mm long needle was used to bend within the tissue due to the interacting forces on its asymmetric bevel tip. Three experimental cases of needle steering in a soft phantom were performed to validate the simulation. An error measurement of less than 10 % was found between the predicted deflection by the simulations and the one observed in experiments, validating our approach with reasonable accuracy. The effect of the needle diameter and its bevel tip angle on the final shape of the needle was investigated using this model. To maneuver around the anatomical obstacles of the human body and reach the target location, thin sharp needles are recommended, as they would create a smaller radius of curvature. The insertion model presented in this work is intended to be used as a base structure for path planning and training purposes for future studies.

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Acknowledgments

This study was funded by the Department of Defense CDMRP Prostate Cancer Research Program (Grant # W81XWH-11-1-0398).

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Authors and Affiliations

  1. Department of Mechanical Engineering, Temple University, 1947 N. 12th Street, Philadelphia, PA, 19122, USA

    Bardia Konh, Mohammad Honarvar, Kurosh Darvish & Parsaoran Hutapea

  2. Department of Mechanical Engineering, University of Hawaii at Manoa, Honolulu, HI, 96822, USA

    Bardia Konh

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  1. Bardia Konh
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  2. Mohammad Honarvar
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  4. Parsaoran Hutapea
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Correspondence to Parsaoran Hutapea.

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Konh, B., Honarvar, M., Darvish, K. et al. Simulation and experimental studies in needle–tissue interactions. J Clin Monit Comput 31, 861–872 (2017). https://doi.org/10.1007/s10877-016-9909-6

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  • DOI: https://doi.org/10.1007/s10877-016-9909-6

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