LAUSR

Two-dimensional lung ultrasound (LUS) has widely emerged as a rapid and non-invasive imaging tool for the detection and diagnosis of coronavirus disease 2019 (COVID-19). However, image differences will be magnified due to changes in ultrasound imaging experience, such as ultrasound probe attitude control and force control, which will directly affect the diagnosis results. In addition, the risk of virus transmission between sonographer and patients is increased due to frequent physical contact. In this study, a fully automatic dual-probe ultrasound scanning robot for the acquisition of lung ultrasound images is proposed and developd. Furthermore, the trajectory was optimized based on the velocity look-ahead strategy, the stability of contact force of the system and the scanning efficiency were improved by 24.13% and 29.46%, respectively. And the control ability of the contact force of robotic automatic scanning was 34.14 times higher than that of traditional manual scanning, which significantly improves the smoothness of scanning. Importantly, there was no significant difference in image quality obtained by robotic automatic scanning and manual scanning. Furthermore, the scanning time for a single person is less than 4 minutes, which greatly improves the efficiency of screening triage of group COVID-19 diagnosis and suspected patients, and reduces the risk of virus exposure and spread.