Image-based robotic system for enhanced minimally invasive intra-articular fracture surgeries

G. Dagnino, I. Georgilas, P. Köhler, R. Atkins, S. Dogramadzi

Research output: Chapter in Book/Report/Conference proceedingConference contribution

7 Citations (Scopus)

Abstract

Robotic assistance can bring significant improvements to orthopedic fracture surgery: facilitate more accurate fracture fragment repositioning without open access and obviate problems related to the current minimally invasive fracture surgery techniques by providing a better clinical outcome, reduced recovery time, and health-related costs. This paper presents a new design of the robot-assisted fracture surgery (RAFS) system developed at Bristol Robotics Laboratory, featuring a new robotic architecture, and real-time 3D imaging of the fractured anatomy. The technology presented in this paper focuses on distal femur fractures, but can be adapted to the larger domain of fracture surgeries, improving the state-of-the-art in robot assistance in orthopedics. To demonstrate the enhanced performance of the RAFS system, 10 reductions of a distal femur fracture are performed using the system on a bone model. The experimental results clearly demonstrate the accuracy, effectiveness, and safety of the new RAFS system. The system allows the surgeon to precisely reduce the fractures with a reduction accuracy of 1.15 mm and 1.3°, meeting the clinical requirements for this procedure.

Original languageEnglish
Title of host publicationIEEE International Conference on Robotics and Automation (ICRA), 2016
PublisherIEEE
Pages696-701
Number of pages6
ISBN (Electronic)9781467380263
DOIs
Publication statusPublished - 8 Jun 2016
Event2016 IEEE International Conference on Robotics and Automation, ICRA 2016 - Stockholm, Sweden
Duration: 16 May 201621 May 2016

Conference

Conference2016 IEEE International Conference on Robotics and Automation, ICRA 2016
CountrySweden
CityStockholm
Period16/05/1621/05/16

Fingerprint

Surgery
Robotics
Robots
Orthopedics
Bone
Health
Imaging techniques
Recovery

ASJC Scopus subject areas

  • Control and Systems Engineering
  • Software
  • Artificial Intelligence
  • Electrical and Electronic Engineering

Cite this

Dagnino, G., Georgilas, I., Köhler, P., Atkins, R., & Dogramadzi, S. (2016). Image-based robotic system for enhanced minimally invasive intra-articular fracture surgeries. In IEEE International Conference on Robotics and Automation (ICRA), 2016 (pp. 696-701). [7487196] IEEE. https://doi.org/10.1109/ICRA.2016.7487196

Image-based robotic system for enhanced minimally invasive intra-articular fracture surgeries. / Dagnino, G.; Georgilas, I.; Köhler, P.; Atkins, R.; Dogramadzi, S.

IEEE International Conference on Robotics and Automation (ICRA), 2016. IEEE, 2016. p. 696-701 7487196.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Dagnino, G, Georgilas, I, Köhler, P, Atkins, R & Dogramadzi, S 2016, Image-based robotic system for enhanced minimally invasive intra-articular fracture surgeries. in IEEE International Conference on Robotics and Automation (ICRA), 2016., 7487196, IEEE, pp. 696-701, 2016 IEEE International Conference on Robotics and Automation, ICRA 2016, Stockholm, Sweden, 16/05/16. https://doi.org/10.1109/ICRA.2016.7487196
Dagnino G, Georgilas I, Köhler P, Atkins R, Dogramadzi S. Image-based robotic system for enhanced minimally invasive intra-articular fracture surgeries. In IEEE International Conference on Robotics and Automation (ICRA), 2016. IEEE. 2016. p. 696-701. 7487196 https://doi.org/10.1109/ICRA.2016.7487196
Dagnino, G. ; Georgilas, I. ; Köhler, P. ; Atkins, R. ; Dogramadzi, S. / Image-based robotic system for enhanced minimally invasive intra-articular fracture surgeries. IEEE International Conference on Robotics and Automation (ICRA), 2016. IEEE, 2016. pp. 696-701
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