Motion-Aware Robotic 3D Ultrasound
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Abstract (arXiv)
Robotic three-dimensional (3D) ultrasound (US) imaging has been employed to overcome the drawbacks of traditional US examinations, such as high inter-operator variability and lack of repeatability. However, object movement remains a challenge as unexpected motion decreases the quality of the 3D compounding. Furthermore, attempted adjustment of objects, e.g., adjusting limbs to display the entire limb artery tree, is not allowed for conventional robotic US systems. To address this challenge, we propose a vision-based robotic US system that can monitor the object's motion and automatically update the sweep trajectory to provide 3D compounded images of the target anatomy seamlessly. To achieve these functions, a depth camera is employed to extract the manually planned sweep trajectory after which the normal direction of the object is estimated using the extracted 3D trajectory. Subsequently, to monitor the movement and further compensate for this motion to accurately follow the trajectory, the position of firmly attached passive markers is tracked in real-time. Finally, a step-wise compounding was performed. The experiments on a gel phantom demonstrate that the system can resume a sweep when the object is not stationary during scanning.
Key facts. Cited by 11 papers in the map (data through 14 Oct 2026). First posted on arXiv 13 Jul 2021.
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Citing papers per year: 2022: 2; 2023: 3; 2024: 5; 2025: 0; 2026: 1.
11 papers.
- 2023Intelligent Robotic Sonographer: Mutual Information-based Disentangled Reward Learning from Few Demonstrationscited by 14
- 2022Towards Autonomous Atlas-based Ultrasound Acquisitions in Presence of Articulated Motioncited by 12
- 2023Skeleton Graph-based Ultrasound-CT Non-rigid Registrationcited by 9
- 2022Trackerless freehand ultrasound with sequence modelling and auxiliary transformation over past and future framescited by 7
- 2024Transforming Surgical Interventions with Embodied Intelligence for Ultrasound Roboticscited by 7
- 2023DopUS-Net: Quality-Aware Robotic Ultrasound Imaging based on Doppler Signalcited by 5
- 2024Class-Aware Cartilage Segmentation for Autonomous US-CT Registration in Robotic Intercostal Ultrasound Imagingcited by 5
- 2024Enhancing Surgical Robots with Embodied Intelligence for Autonomous Ultrasound Scanningcited by 3
- 2024Robot-Assisted Deep Venous Thrombosis Ultrasound Examination using Virtual Fixturecited by 2
- 2024CathFlow: Self-Supervised Segmentation of Catheters in Interventional Ultrasound Using Optical Flow and Transformerscited by 2
- 2026SAMe: A Semantic Anatomy Mapping Engine for Robotic Ultrasoundcited by 0
- 2026SAMe: A Semantic Anatomy Mapping Engine for Robotic Ultrasound28 Apr 2026
- 2024Transforming Surgical Interventions with Embodied Intelligence for Ultrasound Robotics18 Jun 2024
- 2024Class-Aware Cartilage Segmentation for Autonomous US-CT Registration in Robotic Intercostal Ultrasound Imaging6 Jun 2024
- 2024Enhancing Surgical Robots with Embodied Intelligence for Autonomous Ultrasound Scanning1 May 2024
- 2024CathFlow: Self-Supervised Segmentation of Catheters in Interventional Ultrasound Using Optical Flow and Transformers21 Mar 2024
- 2024Robot-Assisted Deep Venous Thrombosis Ultrasound Examination using Virtual Fixture4 Jan 2024
- 2023Intelligent Robotic Sonographer: Mutual Information-based Disentangled Reward Learning from Few Demonstrations7 Jul 2023
- 2023DopUS-Net: Quality-Aware Robotic Ultrasound Imaging based on Doppler Signal15 May 2023
- 2023Skeleton Graph-based Ultrasound-CT Non-rigid Registration14 May 2023
- 2022Trackerless freehand ultrasound with sequence modelling and auxiliary transformation over past and future frames9 Nov 2022
- 2022Towards Autonomous Atlas-based Ultrasound Acquisitions in Presence of Articulated Motion10 Aug 2022