M3 Robotics Lab, School of Mechanical and Materials Engineering, Washington State University, Pullman, WA, 99163, USA.
Department of Aerospace Science and Technology, Politecnico di Milano, Milan, 20156, Italy.
Med Biol Eng Comput. 2020 Aug;58(8):1845-1872. doi: 10.1007/s11517-020-02182-0. Epub 2020 Jun 9.
The use of waterjet technology is now prevalent in medical applications including surgery, soft tissue resection, bone cutting, waterjet steerable needles, and wound debridement. The depth of the cut (DOC) of a waterjet in soft tissue is an important parameter that should be predicted in these applications. For instance, for waterjet-assisted surgery, selective cutting of tissue layers is a must to avoid damage to deeper tissue layers. For our proposed fracture-directed waterjet steerable needles, predicting the cut depth of the waterjet in soft tissue is important to develop an accurate motion model, as well as control algorithms for this class of steerable needles. To date, most of the proposed models are only valid in the conditions of the experiments and if the soft tissue or the system properties change, the models will become invalid. The model proposed in this paper is formulated to allow for variation in parameters related to both the waterjet geometry and the tissue. In this paper, first the cut depths of waterjet in soft tissue simulants are measured experimentally, and the effect of tissue stiffness, waterjet velocity, and nozzle diameter are studied on DOC. Then, a model based on the properties of the tissue and the waterjet is proposed to predict the DOC of waterjet in soft tissue. In order to verify the model, soft tissue properties (constitutive response and fracture toughness) are measured using low strain rate compression tests, Split-Hopkinson-Pressure-Bar (SHPB) tests, and fracture toughness tests. The results show that the proposed model can predict the DOC of waterjet in soft tissue with acceptable accuracy if the tissue and waterjet properties are known. Graphical Abstract (Left) An overview of the problems of traditional steerable needles and the solutions provided by waterjet steerable needles. (A) Traditional tip-steerable needles and tip-bent needles suffer from poor curvature, especially in soft tissues. (B) Traditional steerable needles are unable to accomplish many bends because the cutting force only results from drastic tissue deformation. (C) The first step for realization of waterjet steerable needles is to understand and model the interaction between waterjet and soft tissues at the tip (predictive model for depth of cut). (D) Then, the equilibrium between shapes cut in the tissue and the straight elastic needle should be understood. (Right) Waterjet steerable needles in which the direction of the tissue fracture is contr olled by waterjet and then the flexible needle follows. The first step for waterjet steerable needle realization is to predict the depth of waterjet cut.
水刀技术在医学应用中得到了广泛应用,包括手术、软组织切除、骨切割、水刀导向针和伤口清创。水刀在软组织中的切割深度(DOC)是这些应用中需要预测的一个重要参数。例如,对于水刀辅助手术,必须选择性地切割组织层,以避免对更深的组织层造成损伤。对于我们提出的骨折导向水刀导向针,预测水刀在软组织中的切割深度对于开发准确的运动模型以及控制这类导向针的算法非常重要。迄今为止,大多数提出的模型仅在实验条件下有效,如果软组织或系统特性发生变化,模型将变得无效。本文提出的模型是为了允许与水刀几何形状和组织相关的参数变化而制定的。在本文中,首先通过实验测量水刀在软组织模拟物中的切割深度,并研究了组织刚度、水刀速度和喷嘴直径对 DOC 的影响。然后,提出了一种基于组织和水刀特性的模型来预测水刀在软组织中的 DOC。为了验证模型,使用低应变率压缩试验、分离式 Hopkinson 压杆(SHPB)试验和断裂韧性试验测量软组织特性(本构响应和断裂韧性)。结果表明,如果已知组织和水刀特性,该模型可以以可接受的精度预测水刀在软组织中的切割深度。