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Published 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

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

Published in: International Journal of Computer Assisted Radiology and Surgery | Issue 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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Literature
5.
go back to reference Hennersperger C, Fuerst B, Virga S, Zettinig O, Frisch B, Neff T, Navab N (2016) Towards MRI-based autonomous robotic US acquisitions: a first feasibility study. IEEE Trans Med Imaging. doi:10.1109/tmi.2016.2620723 Hennersperger C, Fuerst B, Virga S, Zettinig O, Frisch B, Neff T, Navab N (2016) Towards MRI-based autonomous robotic US acquisitions: a first feasibility study. IEEE Trans Med Imaging. doi:10.​1109/​tmi.​2016.​2620723
9.
go back to reference Şen HT, Cheng A, Ding K, Boctor E, Wong J, Iordachita I, Kazanzides P (2016) Cooperative control with ultrasound guidance for radiation therapy. Front Robot AI. doi:10.3389/frobt.2016.00049 Şen HT, Cheng A, Ding K, Boctor E, Wong J, Iordachita I, Kazanzides P (2016) Cooperative control with ultrasound guidance for radiation therapy. Front Robot AI. doi:10.​3389/​frobt.​2016.​00049
10.
go back to reference Balicki M, Uneri A, Iordachita I, Handa J, Gehlbach P, Taylor R (2010) Micro-force sensing in robot assisted membrane peeling for vitreoretinal surgery. Medical Image Computing and Computer-Assisted Intervention - MICCAI 2010. Lect Notes Comput Sci, pp 303–310. doi:10.1007/978-3-642-15711-0_38 Balicki M, Uneri A, Iordachita I, Handa J, Gehlbach P, Taylor R (2010) Micro-force sensing in robot assisted membrane peeling for vitreoretinal surgery. Medical Image Computing and Computer-Assisted Intervention - MICCAI 2010. Lect Notes Comput Sci, pp 303–310. doi:10.​1007/​978-3-642-15711-0_​38
11.
go back to reference He X, Balicki M, Gehlbach P, Handa J, Taylor R, Iordachita I (2014) A multi-function force sensing instrument for variable admittance robot control in retinal microsurgery. In: 2014 IEEE international conference on robotics and automation (ICRA). doi:10.1109/icra.2014.6907037 He X, Balicki M, Gehlbach P, Handa J, Taylor R, Iordachita I (2014) A multi-function force sensing instrument for variable admittance robot control in retinal microsurgery. In: 2014 IEEE international conference on robotics and automation (ICRA). doi:10.​1109/​icra.​2014.​6907037
12.
go back to reference Casiez GCA, Roussel N, Vogel D (2012) 1 filter. In: Proceedings of the 2012 ACM annual conference on human factors in computing systems—CHI ’12. doi:10.1145/2207676.2208639 Casiez GCA, Roussel N, Vogel D (2012) 1 filter. In: Proceedings of the 2012 ACM annual conference on human factors in computing systems—CHI ’12. doi:10.​1145/​2207676.​2208639
13.
go back to reference Gilbertson MW, Anthony BW (2013) An ergonomic, instrumented ultrasound probe for 6-axis force/torque measurement. In: 2013 35th annual international conference of the IEEE engineering in medicine and biology society (EMBC). doi:10.1109/embc.2013.6609457 Gilbertson MW, Anthony BW (2013) An ergonomic, instrumented ultrasound probe for 6-axis force/torque measurement. In: 2013 35th annual international conference of the IEEE engineering in medicine and biology society (EMBC). doi:10.​1109/​embc.​2013.​6609457
14.
go back to reference Li M, Kapoor A, Taylor R (2005) A constrained optimization approach to virtual fixtures. In: 2005 IEEE/RSJ international conference on intelligent robots and systems. doi:10.1109/iros.2005.1545420 Li M, Kapoor A, Taylor R (2005) A constrained optimization approach to virtual fixtures. In: 2005 IEEE/RSJ international conference on intelligent robots and systems. doi:10.​1109/​iros.​2005.​1545420
15.
go back to reference Zhang HK, Cheng A, Bottenus N, Guo X, Trahey GE, Boctor EM (2016) Synthetic tracked aperture ultrasound imaging: design, simulation, and experimental evaluation. J Med Imaging. doi:10.1117/1.jmi.3.2.027001 Zhang HK, Cheng A, Bottenus N, Guo X, Trahey GE, Boctor EM (2016) Synthetic tracked aperture ultrasound imaging: design, simulation, and experimental evaluation. J Med Imaging. doi:10.​1117/​1.​jmi.​3.​2.​027001
16.
go back to reference Zhang HK, Finocchi R, Apkarian K, Boctor EM (2016) Co-robotic synthetic tracked aperture ultrasound imaging with cross-correlation based dynamic error compensation and virtual fixture control. In: 2016 IEEE international ultrasonics symposium (IUS). doi:10.1109/ultsym.2016.7728522 Zhang HK, Finocchi R, Apkarian K, Boctor EM (2016) Co-robotic synthetic tracked aperture ultrasound imaging with cross-correlation based dynamic error compensation and virtual fixture control. In: 2016 IEEE international ultrasonics symposium (IUS). doi:10.​1109/​ultsym.​2016.​7728522
17.
go back to reference Zhang HK, Fang TY, Finocchi R, Boctor EM (2017) High resolution three-dimensional robotic synthetic tracked aperture ultrasound imaging: feasibility study. In: SPIE: Medical Imaging, p 10139. doi:10.1117/12.2254707 Zhang HK, Fang TY, Finocchi R, Boctor EM (2017) High resolution three-dimensional robotic synthetic tracked aperture ultrasound imaging: feasibility study. In: SPIE: Medical Imaging, p 10139. doi:10.​1117/​12.​2254707
Metadata
Title
Force-assisted ultrasound imaging system through dual force sensing and admittance robot control
Authors
Ting-Yun Fang
Haichong K. Zhang
Rodolfo Finocchi
Russell H. Taylor
Emad M. Boctor
Publication date
25-03-2017
Publisher
Springer International Publishing
Published in
International Journal of Computer Assisted Radiology and Surgery / Issue 6/2017
Print ISSN: 1861-6410
Electronic ISSN: 1861-6429
DOI
https://doi.org/10.1007/s11548-017-1566-9

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