Smooth Path Planning and Dynamic Contact Force Regulation for Robotic Ultrasound Scanning

IF 5.3 2区 计算机科学 Q2 ROBOTICS
Le Zhang;Dapeng Yang;Baoshan Niu;Haonan Yang;Qi Huang;Li Jiang;Hong Liu
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引用次数: 0

Abstract

The robotic breast ultrasound scanning (RBUS) system can help sonographer in the early screening of breast cancer. However, it still faces rigorous safety concerns, including non-smooth scanning paths and improper contact force regulation. In this letter, we propose a new path optimization method to improve the scanning smoothness, as well as, a dynamic contact regulation strategy considering both the breast deformation and ultrasound images. For the path planning, the anti-radial scanning approach is first adopted to generate some initial path points together with their normal vectors; then, a dual-objective optimization function is formulated, which considers both the acceleration continuity and deviation of the path, to filter out local path anomalies. For the force control, a contact force-strain regression model is first proposed and used to predict the desired force between the breast and probe at each path point. While within the adjacent path points, an updating algorithm is introduced to dynamically adjust the contact force in real-time by surveying the confidence of the ultrasound image. Our experimental results show that the proposed methods can make the scanning path smoother, and obtain intimate probe-tissue contact with less desired force.
机器人超声扫描平滑路径规划与动态接触力调节
机器人乳房超声扫描(RBUS)系统可以帮助超声医师早期筛查乳腺癌。然而,它仍然面临着严格的安全问题,包括扫描路径不光滑和接触力调节不当。在这封信中,我们提出了一种新的路径优化方法来提高扫描平滑度,以及考虑乳房变形和超声图像的动态接触调节策略。对于路径规划,首先采用反径向扫描方法生成初始路径点及其法向量;然后,建立了考虑加速度连续性和路径偏差的双目标优化函数,滤除局部路径异常;对于力的控制,首先提出了一种接触力-应变回归模型,并用于预测乳房和探头之间在每个路径点的期望力。在相邻路径点内,通过测量超声图像置信度,引入一种实时动态调整接触力的更新算法。实验结果表明,该方法可以使扫描路径更平滑,并以较小的期望力获得探针与组织的亲密接触。
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来源期刊
IEEE Robotics and Automation Letters
IEEE Robotics and Automation Letters Computer Science-Computer Science Applications
CiteScore
9.60
自引率
15.40%
发文量
1428
期刊介绍: The scope of this journal is to publish peer-reviewed articles that provide a timely and concise account of innovative research ideas and application results, reporting significant theoretical findings and application case studies in areas of robotics and automation.
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