Fluoroscopic Navigation for a Surgical Robotic System Including a Continuum Manipulator
- Resource Type
- Periodical
- Authors
- Gao, C.; Phalen, H.; Sefati, S.; Ma, J.; Taylor, R.; Unberath, M.; Armand, M.
- Source
- IEEE Transactions on Biomedical Engineering IEEE Trans. Biomed. Eng. Biomedical Engineering, IEEE Transactions on. 69(1):453-464 Jan, 2022
- Subject
- Bioengineering
Computing and Processing
Components, Circuits, Devices and Systems
Communication, Networking and Broadcast Technologies
Navigation
Robots
Bones
Three-dimensional displays
Shape
X-ray imaging
Robot sensing systems
Continuum manipulators
X-ray
2D/3D registration
image-based navigation
- Language
- ISSN
- 0018-9294
1558-2531
We present an image-based navigation solution for a surgical robotic system with a Continuum Manipulator (CM). Our navigation system uses only fluoroscopic images from a mobile C-arm to estimate the CM shape and pose with respect to the bone anatomy. The CM pose and shape estimation is achieved using image intensity-based 2D/3D registration. A learning-based framework is used to automatically detect the CM in X-ray images, identifying landmark features that are used to initialize and regularize image registration. We also propose a modified hand-eye calibration method that numerically optimizes the hand-eye matrix during image registration. The proposed navigation system for CM positioning was tested in simulation and cadaveric studies. In simulation, the proposed registration achieved a mean error of $1.10\pm 0.72$ mm between the CM tip and a target entry point on the femur. In cadaveric experiments, the mean CM tip position error was $2.86\pm 0.80$ mm after registration and repositioning of the CM. The results suggest that our proposed fluoroscopic navigation is feasible to guide the CM in orthopedic applications.