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


CONCLUSIONS
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.
Department of Mechanical Engineering, Johns Hopkins University, Baltimore, MD, 21218, USA. tfang5@jhu.edu.
Ting-Yun
http://orcid.org/0000-0003-0941-144X
TY
Fang
Department of Computer Science, Johns Hopkins University, Baltimore, MD, 21218, USA.
Haichong K
HK
Zhang
Laboratory for Computational Sensing and Robotics, Johns Hopkins University, Baltimore, MD, 21218, USA.
Rodolfo
R
Finocchi
Department of Computer Science, Johns Hopkins University, Baltimore, MD, 21218, USA.
Russell H
RH
Taylor
Department of Computer Science, Johns Hopkins University, Baltimore, MD, 21218, USA.|Department of Radiology, Johns Hopkins University, Baltimore, MD, 21218, USA.
Emad M
EM
Boctor
D006801:Humans; D009038:Motion; D019047:Phantoms, Imaging; D012371:Robotics / Q000379:methods*; D014463:Ultrasonography / Q000379:methods*
Admittance control; Co-robotic ultrasound; Cooperative robot control; Dual force sensing; Force-assisted