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Towards a Soft Robotic Skin for Autonomous Tissue Palpation

机译:面向自主组织触诊的软机器人皮肤

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摘要

Manual palpation is commonly used to localize tumors and other features buried deep inside organs during open surgery. This approach is not feasible in minimally invasive or robotic surgery, as the contact with the tissue is mediated by instruments. To address this problem, we propose a soft robotic skin (SRS) that can be deployed from a small incision and create a stiffness map in a single step. Such a skin is composed of a matrix of soft robotic tactile elements (SRTEs), each one able to expand and record the tissue response during expansion. In this paper, we firstly prove the feasibility of palpation using a single SRTE. Then, we present and test a soft-suction based anchoring mechanism able to keep the SRS in the desired position in contact with the tissue, allowing surgeons to palpate different sides of the organ. Finally, we detail a calibration method for the SRTE, and assess the feasibility of identifying lumps buried inside a soft tissue phantom, and then inside a chicken liver during an ex-vivo trial. Experimental results show that the SRTE was able to differentiate simulated lumps (up to 3.25 mm deep) from healthy tissue in both the phantom and the ex-vivo trials. These results, added to the ability of the suction gripper to compensate for the expansion forces of each SRTE, are paving the way for soft robotic autonomous tools that can be used for intraoperative mapping of tissue cancers.
机译:手动触诊通常用于在开放手术中定位位于器官内部深处的肿瘤和其他特征。这种方法在微创或机器人手术中不可行,因为与组织的接触是由器械介导的。为了解决这个问题,我们提出了一种软机器人皮肤(SRS),它可以从一个小切口处展开,并在一个步骤中创建刚度图。这种皮肤由柔软的机器人触觉元件(SRTE)矩阵组成,每个触觉元件都可以扩张并记录扩张过程中的组织反应。在本文中,我们首先证明了使用单个SRTE进行触诊的可行性。然后,我们介绍并测试一种基于软抽吸的锚固机制,该机制能够将SRS保持在与组织接触的所需位置,从而使外科医生可以触诊器官的不同侧面。最后,我们详细介绍了SRTE的校准方法,并评估了在离体试验中识别埋在软组织体模内,然后在鸡肝内的肿块的可行性。实验结果表明,在体模试验和离体试验中,SRTE能够区分健康组织中的模拟肿块(最深3.25毫米)。这些结果增加了吸气夹具补偿每个SRTE的膨胀力的能力,为可用于组织癌术中标测的软机器人自主工具铺平了道路。

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