Suppr超能文献

基于触诊的多肿瘤检测方法,考虑机器人辅助微创手术中的移动距离

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

作者信息

Yun Yahui, Ju Feng, Zhang Yingxuan, Zhu Chengjun, Wang Yaoyao, Guo Hao, Wei Xiaoyong, Chen Bai

出版信息

Annu Int Conf IEEE Eng Med Biol Soc. 2020 Jul;2020:4899-4902. doi: 10.1109/EMBC44109.2020.9176127.

Abstract

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.

摘要

本文提出了一种用于机器人辅助微创手术(RMIS)的基于触诊的新型肿瘤检测方法。设计了一种基于压电振动的触觉刚度传感器,只需轻轻接触就能检测组织刚度,而不会有损伤器官的风险。提出了一种新型的多肿瘤检测方法,以解决现有肿瘤检测方法只能检测单个肿瘤的问题。此外,将传感器在触诊过程中的移动距离作为一个新因素引入采样策略函数,以便在肿瘤触诊过程中能够考虑并优化传感器的总移动距离。进行了仿真研究,将新方法与现有肿瘤检测方法进行比较。结果表明,所提出的方法能够以最高性能(F1分数>0.99)成功识别和定位多个肿瘤,并且在不影响检测精度的情况下,触诊过程中的总移动距离减少了43%。

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验