Department of Mechanical Engineering, Johns Hopkins University, Baltimore, MD, 21218, USA.
Department of Computer Science, Johns Hopkins University, Baltimore, MD, 21218, USA.
Int J Comput Assist Radiol Surg. 2017 Jun;12(6):983-991. doi: 10.1007/s11548-017-1566-9. Epub 2017 Mar 25.
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.
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.
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.
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.
与其他成像方式相比,超声成像是一种金标准的临床诊断方法,具有独特的优势,包括:成本低、非侵入性和对人体安全。然而,超声扫描过程需要长时间施加较大的力,通常需要保持所需的体位,以保持所需的体位,这对超声医师的职业生涯提出了很高的要求,往往会导致肌肉骨骼疼痛和劳损损伤。
为了解决这个问题,我们提出了一种协作控制的机器人超声系统,以减少超声医师施加的力。所提出的系统由两个关键组件组成:一个六轴机械臂,用于握持和驱动超声探头,以及一个双力传感器设置,实现协作控制和自适应力辅助。通过导纳力控制,机械臂可以跟随操作人员的运动,同时在扫描过程中辅助施加力。
我们通过一项涉及专家和非专业人员的用户研究验证了该系统,并证明了操作人员施加的力减少了 32%-73%,图像稳定性提高了 8%-18%。
这些结果表明,该系统不仅有可能减轻超声医师的负担,还能提供更稳定的超声扫描。