Robot-assisted surgery: Putting the reality in virtual reality

Cardiac cosmetic surgeons might have the ability to much better strategy operations and enhance their surgical field view with the aid of a robot. Controlled through a virtual reality parallel system as a digital twin, the robot can precisely image a client through ultrasound without the hand cramping or radiation direct exposure that prevent human operators. The global research study group released their technique in IEEE/CAA Journal of Automatica Sinica.

“Intra-operative ultrasound is especially useful, as it can guide the surgery by providing real-time images of otherwise hidden devices and anatomy,” stated paper author Fei-Yue Wang, Director of the State Key Laboratory of Management and Control of Complex Systems, Institute of Automation, Chinese Academy of Sciences. “However, the need for highly specialized skills is always a barrier for reliable and repeatable acquisition.”

Wang kept in mind that the accessibility of onsite sonographers can be restricted, which numerous treatments needing intra-operative ultrasound likewise frequently need X-ray imaging, which might expose the operator to damaging radiation. To alleviate these obstacles, Wang and his group established a platform for robotic intra-operative trans-esophageal echocardiography (TEE), an imaging strategy extensively utilized to detect heart problem and guide heart surgeries.

“Our result has indicated the use of robot with a simulation platform could potentially improve the general usability of intra-operative ultrasound and assist operators with less experience,” Wang stated.

The scientists utilized parallel control and intelligence to match an operator with the robot in a virtual environment that precisely represents the genuine environment. Equipped with a database of ultrasound images and a digital platform efficient in rebuilding anatomy, the robot might browse the target locations for the operator to much better picture and prepare possible surgical corrections in computational experiments.

“Such a system can be used for view definition and optimization to assist pre-planning, as well as algorithm evaluations to facilitate control and navigation in real-time,” Wang stated.

Next, the scientists prepare to even more incorporate the presently proposed parallel genuine/virtual system with particular medical requirements to help the translational research study of such imaging robots.

“The ultimate goal is to integrate the virtual system and the physical robot for in-vivo clinical tests, so as to propose a new diagnosis and treatment protocol using parallel intelligence in medical operations,” Wang stated.


S. Y. Wang, J. Housden, T. X. Bai, H. B. Liu, J. Back, D. Singh, K. Rhode, Z.-G. Hou, and F.-Y. Wang, “Robotic intra-operative ultrasound: Virtual environments and parallel systems,” IEEE/CAA J. Autom. Sinica, vol. 8, no. 5, pp. 1095-1106, May 2021.

IEEE/CAA Journal of Automatica Sinica intends to release premium, high-interest, significant research study accomplishments internationally, and offer a global online forum for the discussion of initial concepts and current outcomes associated with all elements of automation.

The initially Impact Factor of IEEE/CAA Journal of Automatica Sinica is 5.129, ranking amongst Top 17% (11/63, SCI Q1) in the classification of Automation & Control Systems, according to the newest Journal Citation Reports launched by Clarivate Analytics in 2020. In addition, its newest CiteScore is 11.2, and has actually gone into Q1 in all 3 classifications it comes from (Information System, Control and Systems Engineering, Artificial Intelligence) considering that 2018.

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