Autonomous Robotic System for Carotid Artery Ultrasound Scanning With Visual Servo Navigation

Ultrasound (US) examination is widely used to diagnose carotid artery plaque, which requires the sonographer to guide the probe to scan along a specific path for complete coverage of the carotid artery region. Meanwhile, stable probe-neck interaction is important for high-quality image acquisition. In this study, a robotic system for autonomous carotid US scanning is proposed. To realize the autonomous visual servo movement of the probe, an object tracking method based on improved Siamese network is proposed. Meanwhile, a local quality assessment algorithm is proposed to ensure that carotid ultrasound images are clear and desirable for diagnosis. To address the issue of poor probe-neck contact and loss of carotid object during ultrasound scanning, an automatic recovery control method is proposed to ensure the continuity of the scanning process without the need to stop and restart the scanning. Experimental results show that the robotic system can successfully navigate the probe to move along a path that meets the clinical standard. In addition, the robot can autonomously rediscover the object and return to the normal scanning state if a stuck condition occurs.

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Publication Details

Journal
IEEE Transactions on Medical Robotics and Bionics
Published
2024-09-19
DOI
https://doi.org/10.1109/tmrb.2024.3464109
Citations
6
Primary Topic
Cerebrovascular and Carotid Artery Diseases
Type
article
Field-Weighted Citation Impact
2.51
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article

Autonomous Robotic System for Carotid Artery Ultrasound Scanning With Visual Servo Navigation

Max Q.‐H. Meng, Baoliang Zhao, Haiqin Xie, Liang Yao et al.
6 citations
IEEE Transactions on Medical Robotics and Bionics
Cerebrovascular and Carotid Artery Diseases
2.51
article

Autonomous Robotic System for Carotid Artery Ultrasound Scanning With Visual Servo Navigation

Max Q.‐H. Meng, Baoliang Zhao, Haiqin Xie, Liang Yao, Bing Li, Ying Hu, Ziwen Wang, Yingying Han
article en
6 citations

Abstract

Ultrasound (US) examination is widely used to diagnose carotid artery plaque, which requires the sonographer to guide the probe to scan along a specific path for complete coverage of the carotid artery region. Meanwhile, stable probe-neck interaction is important for high-quality image acquisition. In this study, a robotic system for autonomous carotid US scanning is proposed. To realize the autonomous visual servo movement of the probe, an object tracking method based on improved Siamese network is proposed. Meanwhile, a local quality assessment algorithm is proposed to ensure that carotid ultrasound images are clear and desirable for diagnosis. To address the issue of poor probe-neck contact and loss of carotid object during ultrasound scanning, an automatic recovery control method is proposed to ensure the continuity of the scanning process without the need to stop and restart the scanning. Experimental results show that the robotic system can successfully navigate the probe to move along a path that meets the clinical standard. In addition, the robot can autonomously rediscover the object and return to the normal scanning state if a stuck condition occurs.

IEEE Transactions on Medical Robotics and BionicsVol. 6(4)
Chinese Academy of Sciences (CN), Harbin Institute of Technology (CN), Southern University of Science and Technology (CN), Peking University Shenzhen Hospital (CN), Shenzhen Institutes of Advanced Technology (CN)
Affordable and clean energy
Openalex Percentile: Top 10%
Cerebrovascular and Carotid Artery Diseases
2.51
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