The Experts below are selected from a list of 29622 Experts worldwide ranked by ideXlab platform
Sanja Dogramadzi - One of the best experts on this subject based on the ideXlab platform.
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rafs a computer assisted robotic system for minimally invasive Joint Fracture surgery based on pre and intra operative imaging
International Conference on Robotics and Automation, 2017Co-Authors: Giulio Dagnino, Samir Morad, Payam Tarassoli, Roger Atkins, Ioannis Georgilas, Peter Gibbons, Sanja DogramadziAbstract:The integration of minimally invasive robotic assistance and image-guidance can have positive impact on Joint Fracture surgery, providing a better clinical outcome with respect to the current open procedure. In this paper, a new design of the RAFS surgical system is presented. The redesign of the robotic system and its integration with a novel 3D navigation system through a new clinical workflow, overcomes the drawbacks of the earlier prototype. This makes the RAFS surgical system more suitable to clinical scenarios in the operating theatre. System accuracy and effectiveness are successfully demonstrated through laboratory trials and preliminary cadaveric trials. The experimental results demonstrate that the system allows the surgeon to reduce a 2-fragment distal femur Fracture in a cadaveric specimen, with a reduction accuracy of up to 0.85 mm and 2.2°. Preliminary cadaveric trials also provided a positive and favorable outcome pointing to the usability and safety of the RAFS system in the operating theatre, potentially enhancing the capacity of Joint Fracture surgeries.
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vision based real time position control of a semi automated system for robot assisted Joint Fracture surgery
Computer Assisted Radiology and Surgery, 2016Co-Authors: Giulio Dagnino, Payam Tarassoli, Ioannis Georgilas, R M Atkins, Sanja DogramadziAbstract:Purpose Joint Fracture surgery quality can be improved by robotic system with high-accuracy and high-repeatability Fracture fragment manipulation. A new real-time vision-based system for fragment manipulation during robot-assisted Fracture surgery was developed and tested.
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vision based real time position control of a semi automated system for robot assisted Joint Fracture surgery
Computer Assisted Radiology and Surgery, 2016Co-Authors: Giulio Dagnino, Payam Tarassoli, Ioannis Georgilas, R M Atkins, Sanja DogramadziAbstract:Joint Fracture surgery quality can be improved by robotic system with high-accuracy and high-repeatability Fracture fragment manipulation. A new real-time vision-based system for fragment manipulation during robot-assisted Fracture surgery was developed and tested. The control strategy was accomplished by merging fast open-loop control with vision-based control. This two-phase process is designed to eliminate the open-loop positioning errors by closing the control loop using visual feedback provided by an optical tracking system. Evaluation of the control system accuracy was performed using robot positioning trials, and Fracture reduction accuracy was tested in trials on ex vivo porcine model. The system resulted in high Fracture reduction reliability with a reduction accuracy of 0.09 mm (translations) and of $$0.15^{\circ }$$ (rotations), maximum observed errors in the order of 0.12 mm (translations) and of $$0.18^{\circ }$$ (rotations), and a reduction repeatability of 0.02 mm and $$0.03^{\circ }$$ . The proposed vision-based system was shown to be effective and suitable for real Joint Fracture surgical procedures, contributing a potential improvement of their quality.
Giulio Dagnino - One of the best experts on this subject based on the ideXlab platform.
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rafs a computer assisted robotic system for minimally invasive Joint Fracture surgery based on pre and intra operative imaging
International Conference on Robotics and Automation, 2017Co-Authors: Giulio Dagnino, Samir Morad, Payam Tarassoli, Roger Atkins, Ioannis Georgilas, Peter Gibbons, Sanja DogramadziAbstract:The integration of minimally invasive robotic assistance and image-guidance can have positive impact on Joint Fracture surgery, providing a better clinical outcome with respect to the current open procedure. In this paper, a new design of the RAFS surgical system is presented. The redesign of the robotic system and its integration with a novel 3D navigation system through a new clinical workflow, overcomes the drawbacks of the earlier prototype. This makes the RAFS surgical system more suitable to clinical scenarios in the operating theatre. System accuracy and effectiveness are successfully demonstrated through laboratory trials and preliminary cadaveric trials. The experimental results demonstrate that the system allows the surgeon to reduce a 2-fragment distal femur Fracture in a cadaveric specimen, with a reduction accuracy of up to 0.85 mm and 2.2°. Preliminary cadaveric trials also provided a positive and favorable outcome pointing to the usability and safety of the RAFS system in the operating theatre, potentially enhancing the capacity of Joint Fracture surgeries.
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vision based real time position control of a semi automated system for robot assisted Joint Fracture surgery
Computer Assisted Radiology and Surgery, 2016Co-Authors: Giulio Dagnino, Payam Tarassoli, Ioannis Georgilas, R M Atkins, Sanja DogramadziAbstract:Purpose Joint Fracture surgery quality can be improved by robotic system with high-accuracy and high-repeatability Fracture fragment manipulation. A new real-time vision-based system for fragment manipulation during robot-assisted Fracture surgery was developed and tested.
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vision based real time position control of a semi automated system for robot assisted Joint Fracture surgery
Computer Assisted Radiology and Surgery, 2016Co-Authors: Giulio Dagnino, Payam Tarassoli, Ioannis Georgilas, R M Atkins, Sanja DogramadziAbstract:Joint Fracture surgery quality can be improved by robotic system with high-accuracy and high-repeatability Fracture fragment manipulation. A new real-time vision-based system for fragment manipulation during robot-assisted Fracture surgery was developed and tested. The control strategy was accomplished by merging fast open-loop control with vision-based control. This two-phase process is designed to eliminate the open-loop positioning errors by closing the control loop using visual feedback provided by an optical tracking system. Evaluation of the control system accuracy was performed using robot positioning trials, and Fracture reduction accuracy was tested in trials on ex vivo porcine model. The system resulted in high Fracture reduction reliability with a reduction accuracy of 0.09 mm (translations) and of $$0.15^{\circ }$$ (rotations), maximum observed errors in the order of 0.12 mm (translations) and of $$0.18^{\circ }$$ (rotations), and a reduction repeatability of 0.02 mm and $$0.03^{\circ }$$ . The proposed vision-based system was shown to be effective and suitable for real Joint Fracture surgical procedures, contributing a potential improvement of their quality.
Marc J Richard - One of the best experts on this subject based on the ideXlab platform.
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open reduction internal fixation with transverse volar plating for unstable proximal interphalangeal Fracture dislocation the seatbelt procedure
Hand, 2020Co-Authors: Andrew E Federer, Evan M Guerrero, Travis J Dekker, Suhail K Mithani, Mack J Aldridge, David S Ruch, Marc J RichardAbstract:Background: Unstable intra-articular proximal interphalangeal (PIP) Joint Fracture-dislocations present a difficult problem that requires congruous Joint reduction and stable internal fixation or d...
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open reduction internal fixation with transverse volar plating for unstable proximal interphalangeal Fracture dislocation the seatbelt procedure
Hand, 2020Co-Authors: Andrew E Federer, Evan M Guerrero, Travis J Dekker, Suhail K Mithani, Mack J Aldridge, David S Ruch, Marc J RichardAbstract:Background: Unstable intra-articular proximal interphalangeal (PIP) Joint Fracture-dislocations present a difficult problem that requires congruous Joint reduction and stable internal fixation or distraction. Though Fractures with limited articular involvement may be treated successfully with less invasive procedures, Fracture-dislocations with a volar shear component may benefit from Joint reduction with subchondral support for maintenance of stability. The purpose of this article is to describe a volar transverse plate and screw technique and report the short-term postoperative results. Methods: Seventeen patients with volar shear PIP dorsal Fracture-dislocations were treated with transverse plate and screw constructs at an average of 21 days (range, 2-52) after injury. Information on postoperative stability, range of motion at PIP and distal interphalangeal (DIP) Joints, and radiographic outcomes and complications were retrospectively collected. Results: At a mean of 7.3 months post-operation (range, 1.5-24), there were no recurrent dislocations and an average PIP arc of 77.4° and DIP arc of 61.5°. Sixteen of 17 patients had radiographically concentric Joints, with 1 patient showing slight radiographic dorsal subluxation not apparent clinically. Two of 17 patients (11.8%) had revision surgery for tenolysis and removal of hardware to improve range of motion at 4 and 9 months post-operation. Conclusions: In the setting of PIP dorsal Fracture-dislocations with volar shear component >40% of the articular surface, the Seatbelt procedure allows for concentric Joint and articular surface reduction with subchondral support for maintenance of stability. This volar transverse plating technique allows for highly functional range of motion without PIP dorsal subluxation clinically in the setting of comminution and delayed presentation.
Payam Tarassoli - One of the best experts on this subject based on the ideXlab platform.
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rafs a computer assisted robotic system for minimally invasive Joint Fracture surgery based on pre and intra operative imaging
International Conference on Robotics and Automation, 2017Co-Authors: Giulio Dagnino, Samir Morad, Payam Tarassoli, Roger Atkins, Ioannis Georgilas, Peter Gibbons, Sanja DogramadziAbstract:The integration of minimally invasive robotic assistance and image-guidance can have positive impact on Joint Fracture surgery, providing a better clinical outcome with respect to the current open procedure. In this paper, a new design of the RAFS surgical system is presented. The redesign of the robotic system and its integration with a novel 3D navigation system through a new clinical workflow, overcomes the drawbacks of the earlier prototype. This makes the RAFS surgical system more suitable to clinical scenarios in the operating theatre. System accuracy and effectiveness are successfully demonstrated through laboratory trials and preliminary cadaveric trials. The experimental results demonstrate that the system allows the surgeon to reduce a 2-fragment distal femur Fracture in a cadaveric specimen, with a reduction accuracy of up to 0.85 mm and 2.2°. Preliminary cadaveric trials also provided a positive and favorable outcome pointing to the usability and safety of the RAFS system in the operating theatre, potentially enhancing the capacity of Joint Fracture surgeries.
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vision based real time position control of a semi automated system for robot assisted Joint Fracture surgery
Computer Assisted Radiology and Surgery, 2016Co-Authors: Giulio Dagnino, Payam Tarassoli, Ioannis Georgilas, R M Atkins, Sanja DogramadziAbstract:Purpose Joint Fracture surgery quality can be improved by robotic system with high-accuracy and high-repeatability Fracture fragment manipulation. A new real-time vision-based system for fragment manipulation during robot-assisted Fracture surgery was developed and tested.
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vision based real time position control of a semi automated system for robot assisted Joint Fracture surgery
Computer Assisted Radiology and Surgery, 2016Co-Authors: Giulio Dagnino, Payam Tarassoli, Ioannis Georgilas, R M Atkins, Sanja DogramadziAbstract:Joint Fracture surgery quality can be improved by robotic system with high-accuracy and high-repeatability Fracture fragment manipulation. A new real-time vision-based system for fragment manipulation during robot-assisted Fracture surgery was developed and tested. The control strategy was accomplished by merging fast open-loop control with vision-based control. This two-phase process is designed to eliminate the open-loop positioning errors by closing the control loop using visual feedback provided by an optical tracking system. Evaluation of the control system accuracy was performed using robot positioning trials, and Fracture reduction accuracy was tested in trials on ex vivo porcine model. The system resulted in high Fracture reduction reliability with a reduction accuracy of 0.09 mm (translations) and of $$0.15^{\circ }$$ (rotations), maximum observed errors in the order of 0.12 mm (translations) and of $$0.18^{\circ }$$ (rotations), and a reduction repeatability of 0.02 mm and $$0.03^{\circ }$$ . The proposed vision-based system was shown to be effective and suitable for real Joint Fracture surgical procedures, contributing a potential improvement of their quality.
Ioannis Georgilas - One of the best experts on this subject based on the ideXlab platform.
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rafs a computer assisted robotic system for minimally invasive Joint Fracture surgery based on pre and intra operative imaging
International Conference on Robotics and Automation, 2017Co-Authors: Giulio Dagnino, Samir Morad, Payam Tarassoli, Roger Atkins, Ioannis Georgilas, Peter Gibbons, Sanja DogramadziAbstract:The integration of minimally invasive robotic assistance and image-guidance can have positive impact on Joint Fracture surgery, providing a better clinical outcome with respect to the current open procedure. In this paper, a new design of the RAFS surgical system is presented. The redesign of the robotic system and its integration with a novel 3D navigation system through a new clinical workflow, overcomes the drawbacks of the earlier prototype. This makes the RAFS surgical system more suitable to clinical scenarios in the operating theatre. System accuracy and effectiveness are successfully demonstrated through laboratory trials and preliminary cadaveric trials. The experimental results demonstrate that the system allows the surgeon to reduce a 2-fragment distal femur Fracture in a cadaveric specimen, with a reduction accuracy of up to 0.85 mm and 2.2°. Preliminary cadaveric trials also provided a positive and favorable outcome pointing to the usability and safety of the RAFS system in the operating theatre, potentially enhancing the capacity of Joint Fracture surgeries.
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vision based real time position control of a semi automated system for robot assisted Joint Fracture surgery
Computer Assisted Radiology and Surgery, 2016Co-Authors: Giulio Dagnino, Payam Tarassoli, Ioannis Georgilas, R M Atkins, Sanja DogramadziAbstract:Purpose Joint Fracture surgery quality can be improved by robotic system with high-accuracy and high-repeatability Fracture fragment manipulation. A new real-time vision-based system for fragment manipulation during robot-assisted Fracture surgery was developed and tested.
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vision based real time position control of a semi automated system for robot assisted Joint Fracture surgery
Computer Assisted Radiology and Surgery, 2016Co-Authors: Giulio Dagnino, Payam Tarassoli, Ioannis Georgilas, R M Atkins, Sanja DogramadziAbstract:Joint Fracture surgery quality can be improved by robotic system with high-accuracy and high-repeatability Fracture fragment manipulation. A new real-time vision-based system for fragment manipulation during robot-assisted Fracture surgery was developed and tested. The control strategy was accomplished by merging fast open-loop control with vision-based control. This two-phase process is designed to eliminate the open-loop positioning errors by closing the control loop using visual feedback provided by an optical tracking system. Evaluation of the control system accuracy was performed using robot positioning trials, and Fracture reduction accuracy was tested in trials on ex vivo porcine model. The system resulted in high Fracture reduction reliability with a reduction accuracy of 0.09 mm (translations) and of $$0.15^{\circ }$$ (rotations), maximum observed errors in the order of 0.12 mm (translations) and of $$0.18^{\circ }$$ (rotations), and a reduction repeatability of 0.02 mm and $$0.03^{\circ }$$ . The proposed vision-based system was shown to be effective and suitable for real Joint Fracture surgical procedures, contributing a potential improvement of their quality.
