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Erschienen in: International Journal of Computer Assisted Radiology and Surgery 6/2017

25.03.2017 | Original Article

Force-assisted ultrasound imaging system through dual force sensing and admittance robot control

verfasst von: Ting-Yun Fang, Haichong K. Zhang, Rodolfo Finocchi, Russell H. Taylor, Emad M. Boctor

Erschienen in: International Journal of Computer Assisted Radiology and Surgery | Ausgabe 6/2017

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Abstract

Purpose

Ultrasound imaging has been a gold standard for clinical diagnoses due to its unique advantages compared to other imaging modalities including: low cost, noninvasiveness, and safeness to the human body. However, the ultrasound scanning process requires applying a large force over extended periods of time, often in uncomfortable postures in order to maintain the desired orientation. This physical requirement over sonographers’ careers often leads to musculoskeletal pain and strain injuries.

Methods

To address this problem, we propose a cooperatively controlled robotic ultrasound system to reduce the force sonographers apply. The proposed system consists of two key components: a six-axis robotic arm that holds and actuates the ultrasound probe, and a dual force sensor setup that enables cooperative control and adaptive force assistance. With the admittance force control, the robotic arm complies with the motion of the operator, while assisting with force during the scanning.

Results

We validated the system through a user study involving expert sonographers and lay people and demonstrated 32–73% reduction in human applied force and 8– 18% improvement in image stability.

Conclusion

These results indicate that the system has the potential to not only reduce the burden on the sonographer, but also provide more stable ultrasound scanning.
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Metadaten
Titel
Force-assisted ultrasound imaging system through dual force sensing and admittance robot control
verfasst von
Ting-Yun Fang
Haichong K. Zhang
Rodolfo Finocchi
Russell H. Taylor
Emad M. Boctor
Publikationsdatum
25.03.2017
Verlag
Springer International Publishing
Erschienen in
International Journal of Computer Assisted Radiology and Surgery / Ausgabe 6/2017
Print ISSN: 1861-6410
Elektronische ISSN: 1861-6429
DOI
https://doi.org/10.1007/s11548-017-1566-9

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