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Palpation-Based Multi-Tumor Detection Method Considering Moving Distance for Robot-assisted Minimally Invasive Surgery

机译:机器人辅助微创手术中考虑移动距离的基于触诊的多肿瘤检测方法

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A novel palpation-based tumor detection method for robot-assisted minimally invasive surgery (RMIS) is proposed in this paper. A tactile stiffness sensor based on piezoelectric vibration is designed to detect tissue stiffness just by gentle contacting, without the risk of injuring the organ. A novel multi-tumor detection method is proposed to solve the problem that existing tumor detection methods can only detect a single tumor. In addition, the moving distance of the sensor during palpation is introduced into the sampling strategy function as a new factor, so that the total moving distance of sensor can be considered and optimized during the tumor palpation process. Simulation studies are carried out to compare the new method with existing methods in tumor detection. It shows that the proposed method can identify and locate multiple tumors successfully with the highest performance (F1 score > 0.99), and the total moving distance during palpation is reduced by 43% without any compromise in the detection accuracy.
机译:提出了一种新颖的基于触诊的机器人辅助微创手术肿瘤检测方法。基于压电振动的触觉刚度传感器设计为仅通过轻轻接触即可检测组织刚度,而没有伤害器官的风险。提出了一种新颖的多肿瘤检测方法,以解决现有的肿瘤检测方法只能检测单个肿瘤的问题。另外,将触诊时传感器的移动距离作为新因素引入采样策略功能中,从而可以在肿瘤触诊过程中考虑并优化传感器的总移动距离。进行了仿真研究,以将新方法与现有方法在肿瘤检测中进行比较。结果表明,所提出的方法能够以最高的性能(F1评分> 0.99)成功地识别和定位多个肿瘤,并且在触诊过程中的总移动距离减少了43%,而不会影响检测精度。

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