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

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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.

Item Type:

Journal Article (Original Article)

Division/Institute:

04 Faculty of Medicine > Pre-clinic Human Medicine > Institute for Surgical Technology & Biomechanics ISTB
10 Strategic Research Centers > ARTORG Center for Biomedical Engineering Research > ARTORG Center - Image Guided Therapy

Graduate School:

Graduate School for Cellular and Biomedical Sciences (GCB)

UniBE Contributor:

Feldmann, Arne; Gerber, Kate; Stebinger, Manuel; Williamson, Tom; Weber, Stefan and Zysset, Philippe

Subjects:

500 Science > 570 Life sciences; biology
600 Technology > 610 Medicine & health
600 Technology > 620 Engineering

ISSN:

0090-6964

Publisher:

Springer

Language:

English

Submitter:

Philippe Zysset

Date Deposited:

19 Dec 2017 09:58

Last Modified:

19 Dec 2017 10:03

Publisher DOI:

10.1007/s10439-017-1845-1

PubMed ID:

28477057

BORIS DOI:

10.7892/boris.106935

URI:

https://boris.unibe.ch/id/eprint/106935

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