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Conference Paper: Motion-Aware Robotic 3D Ultrasound

TitleMotion-Aware Robotic 3D Ultrasound
Authors
Issue Date2021
Citation
Proceedings IEEE International Conference on Robotics and Automation, 2021, v. 2021-May, p. 12494-12500 How to Cite?
AbstractRobotic 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 stepwise 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.
Persistent Identifierhttp://hdl.handle.net/10722/365393
ISSN
2023 SCImago Journal Rankings: 1.620

 

DC FieldValueLanguage
dc.contributor.authorJiang, Zhongliang-
dc.contributor.authorWang, Hanyu-
dc.contributor.authorLi, Zhenyu-
dc.contributor.authorGrimm, Matthias-
dc.contributor.authorZhou, Mingchuan-
dc.contributor.authorEck, Ulrich-
dc.contributor.authorBrecht, Sandra V.-
dc.contributor.authorLueth, Tim C.-
dc.contributor.authorWendler, Thomas-
dc.contributor.authorNavab, Nassir-
dc.date.accessioned2025-11-05T06:55:51Z-
dc.date.available2025-11-05T06:55:51Z-
dc.date.issued2021-
dc.identifier.citationProceedings IEEE International Conference on Robotics and Automation, 2021, v. 2021-May, p. 12494-12500-
dc.identifier.issn1050-4729-
dc.identifier.urihttp://hdl.handle.net/10722/365393-
dc.description.abstractRobotic 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 stepwise 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.-
dc.languageeng-
dc.relation.ispartofProceedings IEEE International Conference on Robotics and Automation-
dc.titleMotion-Aware Robotic 3D Ultrasound-
dc.typeConference_Paper-
dc.description.naturelink_to_subscribed_fulltext-
dc.identifier.doi10.1109/ICRA48506.2021.9561487-
dc.identifier.scopuseid_2-s2.0-85112783664-
dc.identifier.volume2021-May-
dc.identifier.spage12494-
dc.identifier.epage12500-

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