TY - GEN
T1 - Colibri5
T2 - 2024 IEEE International Conference on Robotics and Automation, ICRA 2024
AU - Dehghani, Shervin
AU - Sommersperger, Michael
AU - Saleh, Mahdi
AU - Alikhani, Alireza
AU - Busam, Benjamin
AU - Gehlbach, Peter
AU - Iordachita, Iulian
AU - Navab, Nassir
AU - Ali Nasseri, M.
N1 - Publisher Copyright:
© 2024 IEEE.
PY - 2024
Y1 - 2024
N2 - Retinal surgery is a complex medical procedure that requires high precision dexterity to perform delicate instrument maneuvers with sub-millimeter accuracy. Minimizing the manual tremor and achieving precise and repeatable execution of surgical tasks has motivated the development of robotic platforms to overcome the limitations of manual surgery. However, specific tasks, such as instrument insertion through the trocar, are more challenging in robotic surgery than in conventional manual procedures since the robot control is often optimized for navigation inside the eye. This challenges the integration of robotic systems, creating a high cognitive load on the operator and prolonging the surgery time. Moreover, misalignment of the robot's remote center of motion (RCM) and trocar position during the procedure can lead to excessive forces between the instrument and the trocar, potentially causing patient trauma. Precise and rapid localization of the trocars enables the automation of the insertion procedure and dynamic compensation of eye motion.In this work, we present a real-time marker-less method for 3D pose tracking of trocar, achieved with only a single monocular camera. Our experiments show promising results towards real-time trocar pose estimation and tracking, achieving an average error of 3° in trocar orientation estimation, with an average processing time of 15 fps. This could serve as a foundation to improve robotic systems' automation, integration, and efficiency of robotic systems for retinal surgery. The dataset created for this work is made publicly available.
AB - Retinal surgery is a complex medical procedure that requires high precision dexterity to perform delicate instrument maneuvers with sub-millimeter accuracy. Minimizing the manual tremor and achieving precise and repeatable execution of surgical tasks has motivated the development of robotic platforms to overcome the limitations of manual surgery. However, specific tasks, such as instrument insertion through the trocar, are more challenging in robotic surgery than in conventional manual procedures since the robot control is often optimized for navigation inside the eye. This challenges the integration of robotic systems, creating a high cognitive load on the operator and prolonging the surgery time. Moreover, misalignment of the robot's remote center of motion (RCM) and trocar position during the procedure can lead to excessive forces between the instrument and the trocar, potentially causing patient trauma. Precise and rapid localization of the trocars enables the automation of the insertion procedure and dynamic compensation of eye motion.In this work, we present a real-time marker-less method for 3D pose tracking of trocar, achieved with only a single monocular camera. Our experiments show promising results towards real-time trocar pose estimation and tracking, achieving an average error of 3° in trocar orientation estimation, with an average processing time of 15 fps. This could serve as a foundation to improve robotic systems' automation, integration, and efficiency of robotic systems for retinal surgery. The dataset created for this work is made publicly available.
KW - Computer Vision for Medical Robotics
KW - Vision-Based Navigation
KW - Visual Tracking
UR - http://www.scopus.com/inward/record.url?scp=85202452652&partnerID=8YFLogxK
U2 - 10.1109/ICRA57147.2024.10610576
DO - 10.1109/ICRA57147.2024.10610576
M3 - Conference contribution
AN - SCOPUS:85202452652
T3 - Proceedings - IEEE International Conference on Robotics and Automation
SP - 4547
EP - 4554
BT - 2024 IEEE International Conference on Robotics and Automation, ICRA 2024
PB - Institute of Electrical and Electronics Engineers Inc.
Y2 - 13 May 2024 through 17 May 2024
ER -