Real-Time Prediction of Temperature Elevation During Robotic Bone Drilling Using the Torque Signal

Feldmann, Arne; Gerber, Kate; Stebinger, Manuel; Williamson, Tom; Weber, Stefan; Zysset, Philippe (2017). Real-Time Prediction of Temperature Elevation During Robotic Bone Drilling Using the Torque Signal. Annals of biomedical engineering, 45(9), pp. 2088-2097. Springer 10.1007/s10439-017-1845-1

Preview

Text 10.1007%2Fs10439-017-1845-1.pdf - Published Version Available under License Publisher holds Copyright. Download (1MB) | Preview

Bone drilling is a surgical procedure commonly required in many surgical fields, particularly orthopedics, dentistry and head and neck surgeries. While the long-term effects of thermal bone necrosis are unknown, the thermal damage to nerves in spinal or otolaryngological surgeries might lead to partial paralysis. Previous models to predict the temperature elevation have been suggested, but were not validated or have the disadvantages of computation time and complexity which does not allow real time predictions. Within this study, an analytical temperature prediction model is proposed which uses the torque signal of the drilling process to model the heat production of the drill bit. A simple Green's disk source function is used to solve the three dimensional heat equation along the drilling axis. Additionally, an extensive experimental study was carried out to validate the model. A custom CNC-setup with a load cell and a thermal camera was used to measure the axial drilling torque and force as well as temperature elevations. Bones with different sets of bone volume fraction were drilled with two drill bits ([Formula: see text]1.8 mm and [Formula: see text]2.5 mm) and repeated eight times. The model was calibrated with 5 of 40 measurements and successfully validated with the rest of the data ([Formula: see text]C). It was also found that the temperature elevation can be predicted using only the torque signal of the drilling process. In the future, the model could be used to monitor and control the drilling process of surgeries close to vulnerable structures.

Interest & Impact

Downloads

229 since deposited on 19 Dec 2017
35 in the past 12 months

Citations

5 Citations in Web of Science ®
6 Citations in Scopus

Search

in Google Scholar™

Services

Actions (login required)

Edit item

Actions (login required)

Edit item