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腿部动脉自动机器人多普勒超声检查。

Automatic robotic doppler sonography of leg arteries.

机构信息

Institute for Robotics and Cognitive Systems, University of Luebeck, Ratzeburger Allee 160, Luebeck, 23562, Germany.

Clinic for Surgery, Division for Vascular and Endovascular Surgery, University Clinic Schleswig-Holstein Campus Luebeck, Ratzeburger Allee 160, 23538, Luebeck, Germany.

出版信息

Int J Comput Assist Radiol Surg. 2024 Oct;19(10):1965-1974. doi: 10.1007/s11548-024-03235-7. Epub 2024 Jul 25.

Abstract

PURPOSE

Robot-assisted systems offer an opportunity to support the diagnostic and therapeutic treatment of vascular diseases to reduce radiation exposure and support the limited medical staff in vascular medicine. In the diagnosis and follow-up care of vascular pathologies, Doppler ultrasound has become the preferred diagnostic tool. The study presents a robotic system for automatic Doppler ultrasound examinations of patients' leg vessels.

METHODS

The robotic system consists of a redundant 7 DoF serial manipulator, to which a 3D ultrasound probe is attached. A compliant control was employed, whereby the transducer was guided along the vessel with a defined contact force. Visual servoing was used to correct the position of the probe during the scan so that the vessel can always be properly visualized. To track the vessel's position, methods based on template matching and Doppler sonography were used.

RESULTS

Our system was able to successfully scan the femoral artery of seven volunteers automatically for a distance of 20 cm. In particular, our approach using Doppler ultrasound data showed high robustness and an accuracy of 10.7 (±3.1) px in determining the vessel's position and thus outperformed our template matching approach, whereby an accuracy of 13.9 (±6.4) px was achieved.

CONCLUSIONS

The developed system enables automated robotic ultrasound examinations of vessels and thus represents an opportunity to reduce radiation exposure and staff workload. The integration of Doppler ultrasound improves the accuracy and robustness of vessel tracking, and could thus contribute to the realization of routine robotic vascular examinations and potential endovascular interventions.

摘要

目的

机器人辅助系统为减少辐射暴露并支持血管医学领域有限的医务人员,提供了支持血管疾病诊断和治疗的机会。在血管病变的诊断和随访中,多普勒超声已成为首选的诊断工具。本研究提出了一种用于患者腿部血管自动多普勒超声检查的机器人系统。

方法

机器人系统由一个冗余的 7 自由度串联机械手组成,其上附有一个 3D 超声探头。采用柔顺控制,使换能器在规定的接触力下沿血管引导。视觉伺服用于在扫描过程中校正探头的位置,以确保始终能正确地显示血管。为了跟踪血管的位置,使用了基于模板匹配和多普勒超声的方法。

结果

我们的系统能够成功地自动扫描七个志愿者的股动脉 20 厘米的距离。特别是,我们使用多普勒超声数据的方法在确定血管位置方面具有很高的鲁棒性和 10.7(±3.1)像素的准确性,从而优于我们的模板匹配方法,其准确性为 13.9(±6.4)像素。

结论

所开发的系统能够实现血管的自动机器人超声检查,从而有机会减少辐射暴露和工作人员的工作量。多普勒超声的集成提高了血管跟踪的准确性和鲁棒性,从而有助于实现常规的机器人血管检查和潜在的血管内介入。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c596/11442516/39de90ff27bf/11548_2024_3235_Fig1_HTML.jpg

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