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Erschienen in: International Journal of Computer Assisted Radiology and Surgery 1/2017

22.08.2016 | Original Article

A predictive bone drilling force model for haptic rendering with experimental validation using fresh cadaveric bone

verfasst von: Yanping Lin, Huajiang Chen, Dedong Yu, Ying Zhang, Wen Yuan

Erschienen in: International Journal of Computer Assisted Radiology and Surgery | Ausgabe 1/2017

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Abstract

Purpose

Bone drilling simulators with virtual and haptic feedback provide a safe, cost-effective and repeatable alternative to traditional surgical training methods. To develop such a simulator, accurate haptic rendering based on a force model is required to feedback bone drilling forces based on user input. Current predictive bone drilling force models based on bovine bones with various drilling conditions and parameters are not representative of the bone drilling process in bone surgery. The objective of this study was to provide a bone drilling force model for haptic rendering based on calibration and validation experiments in fresh cadaveric bones with different bone densities.

Methods

Using a commonly used drill bit geometry (2 mm diameter), feed rates (20–60 mm/min) and spindle speeds (4000–6000 rpm) in orthognathic surgeries, the bone drilling forces of specimens from two groups were measured and the calibration coefficients of the specific normal and frictional pressures were determined.

Results

The comparison of the predicted forces and the measured forces from validation experiments with a large range of feed rates and spindle speeds demonstrates that the proposed bone drilling forces can predict the trends and average forces well.

Conclusion

The presented bone drilling force model can be used for haptic rendering in surgical simulators.

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Metadaten
Titel
A predictive bone drilling force model for haptic rendering with experimental validation using fresh cadaveric bone
verfasst von
Yanping Lin
Huajiang Chen
Dedong Yu
Ying Zhang
Wen Yuan
Publikationsdatum
22.08.2016
Verlag
Springer International Publishing
Erschienen in
International Journal of Computer Assisted Radiology and Surgery / Ausgabe 1/2017
Print ISSN: 1861-6410
Elektronische ISSN: 1861-6429
DOI
https://doi.org/10.1007/s11548-016-1463-7

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