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A novel haptic robotic viscogram for characterizing the viscoelastic behaviour of breast tissue in clinical examinations

机译:一种新颖的触觉机器人粘度计,用于在临床检查中表征乳腺组织的粘弹性行为

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Background This paper presents a novel tactile sensing robot designed to characterize the viscoelastic behaviour of breast tissue during clinical breast examination (CBE). The robot, named the 'robotic tactile breast mass identifier' (Robo-Tac-BMI), mainly consists of an indentation probe controlled by a robotic system and a visualization interface to manipulate the end-effector. Major high order mechanical parameters are extracted to characterize the viscoelastic behaviour of the tissue in order to certify mass detection and judge the mass type. By fusing the measurements over both breasts, the probe can generalize a mechanical image to visualize the viscoelastic distribution within the internal tissue. The viscoelastic properties provide additional and objective information to facilitate the surgeon's task in the decision-making process.Methods A new computational method is presented for characterizing mass existence in a real breast model. The effect of the strain rate on the mechanical properties is considered to study the viscoelastic behaviour of different mass types. A creative method is proposed to find the optimum strain rate for different mass positions and consistencies, which improves nodule detection. The computational results would be used as the basis for the design and set-up of the Robo-Tac-BMI. Clinical tests with statistical analyses were performed on 161 cases, using the Robo-Tac-BMI.Results The results include analysis of two high-order mechanical properties. Robo-Tac-BMI's capability of nodule detection and differentiation between benign and malignant mass types are investigated. The results were validated by 'gold standard' tests.Conclusion The results show that Robo-Tac-BMI has the potential to provide high-order mechanical parameters, unlike the conventional screening modality carried out by the surgeon, which is not inclusive or quantitative and lacks effectiveness and documentation. The nodule detection ability of this device is confirm...
机译:背景技术本文介绍了一种新颖的触觉传感机器人,旨在表征临床乳房检查(CBE)期间乳房组织的粘弹性行为。该机器人名为“机器人触觉乳房质量识别器”(Robo-Tac-BMI),主要由机器人系统控制的压痕探头和用于操纵末端执行器的可视化界面组成。提取主要的高阶机械参数来表征组织的粘弹性行为,以证明质量检测和判断质量类型。通过将两个乳房的测量结果融合在一起,探头可以使机械图像泛化,以可视化内部组织内的粘弹性分布。粘弹性特性为决策过程中外科医生的任务提供了额外的客观信息。方法提出了一种新的计算方法,用于表征真实乳房模型中的质量存在。考虑了应变速率对机械性能的影响,以研究不同质量类型的粘弹性行为。提出了一种创新的方法来找到不同质量位置和稠度的最佳应变率,从而改善了结节检测。计算结果将用作Robo-Tac-BMI设计和设置的基础。使用Robo-Tac-BMI对161例患者进行了统计分析的临床测试。结果结果包括对两个高阶机械性能的分析。研究了Robo-Tac-BMI的结节检测能力以及良恶性肿块类型之间的区别。结论得到的结果表明,Robo-Tac-BMI具有提供高阶力学参数的潜力,这与外科医生进行的常规筛查方法不同,该方法既非包容性的也不是定量的,缺乏有效性和文件记录。该装置的结节检测能力已得到确认...

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