Konh Bardia, Honarvar Mohammad, Darvish Kurosh, Hutapea Parsaoran
Department of Mechanical Engineering, Temple University, 1947 N. 12th Street, Philadelphia, PA, 19122, USA.
Department of Mechanical Engineering, University of Hawaii at Manoa, Honolulu, HI, 96822, USA.
J Clin Monit Comput. 2017 Aug;31(4):861-872. doi: 10.1007/s10877-016-9909-6. Epub 2016 Jul 18.
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.
这项工作旨在引入一种新的针插入模拟方法，以预测斜面尖端针在软组织内的偏转。开发这样一个能够预测针与组织相互作用过程中针的转向行为的模型，通过虚拟路径规划以及针对目标的针训练系统，可以改善许多基于经皮针的手术（如近距离放射治疗和热消融）的性能，从而减少临床实践中可能出现的并发症。利用LS-DYNA软件中的任意拉格朗日-欧拉（ALE）公式对针与组织之间的固液相互作用进行建模。由于该模型需要考虑连续体的大变形和断裂，因此将ALE方法应用于流体分析被认为是一种合适的方法。一根150毫米长的针因其不对称斜面尖端上的相互作用力而在组织内发生弯曲。在柔软模型中进行了三种针转向的实验情况以验证模拟。模拟预测的偏转与实验中观察到的偏转之间的误差测量结果小于10%，以合理的精度验证了我们的方法。使用该模型研究了针直径及其斜面尖端角度对针最终形状的影响。为了绕过人体的解剖学障碍物并到达目标位置，建议使用细而尖的针，因为它们会产生较小的曲率半径。这项工作中提出的插入模型旨在用作未来研究的路径规划和训练目的的基础结构。
