Sokhanvar S, Dargahi J, Packirisamy M
Department of Mechanical and Industrial Engineering, Concordia University, 1455 de Maisonneuve Boulevard West, Montreal, Quebec H3G1M8, Canada.
Int J Med Robot. 2008 Sep;4(3):232-41. doi: 10.1002/rcs.202.
The existing MIS (minimally invasive surgery) instruments have caused severe restrictions to surgeons' tactile perception. In particular, palpation, which is an important technique in open surgery to assess the softness of the tissue and to detect any hidden lumps, is entirely absent in MIS procedures. Many researchers have developed smart endoscopic graspers to rectify different aspects of this problem. However, the effect of an anatomical feature in general and a lump in particular on the stress distribution on the sensitive surfaces of the smart MIS graspers still needs a lot of attention.
This paper investigates the effect of the important parameters of a lump on the stress distribution at the contact surface and subsequently the output of smart endoscopic graspers. Using experimental stress-strain compression test data, the material parameters required for the Mooney-Rivlin model were obtained and used in hyperelastic finite element analysis.
The influence of size, depth and stiffness of the lump on the stress distribution at the contact surface are shown and discussed. The results of the non-linear finite element analysis were validated against experiments conducted on elastomeric material replicating soft tissue.
The consistency between finite element analysis results and experimental work validates the developed model, which is based on the hyperelastic formulation. The finite element analysis results obtained in this study are particularly useful for the development of an inverse model. The inverse model would extract fundamental information, such as size, depth and stiffness, of any hidden lump, using the outputs of the sensors.
现有的微创手术器械严重限制了外科医生的触觉感知。特别是触诊,这是开放手术中评估组织柔软度和检测任何隐藏肿块的重要技术,在微创手术过程中完全不存在。许多研究人员已经开发出智能内窥镜抓钳来解决这个问题的不同方面。然而,一般的解剖特征,特别是肿块,对智能微创手术抓钳敏感表面应力分布的影响仍需要大量关注。
本文研究了肿块的重要参数对接触面应力分布以及随后智能内窥镜抓钳输出的影响。利用实验应力 - 应变压缩测试数据,获得了用于Mooney - Rivlin模型的材料参数,并将其用于超弹性有限元分析。
展示并讨论了肿块的大小、深度和刚度对接触面应力分布的影响。非线性有限元分析的结果与在模拟软组织的弹性体材料上进行的实验进行了验证。
有限元分析结果与实验工作之间的一致性验证了基于超弹性公式开发的模型。本研究中获得的有限元分析结果对于逆模型的开发特别有用。逆模型将利用传感器的输出提取任何隐藏肿块的基本信息,如大小、深度和刚度。