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A novel toolpath force prediction algorithm using CAM volumetric data for optimizing robotic arthroplasty.

Babak Kianmajd¹, David Carter¹, Masakazu Soshi²

¹Advanced Research for Manufacturing Systems Laboratory, Department of Mechanical and Aerospace Engineering, University of California Davis, One Shields Ave, Davis, CA, 95616, USA.

International Journal of Computer Assisted Radiology and Surgery

|February 14, 2016

Summary

This summary is machine-generated.

A new algorithm accurately predicts cutting forces in robotic hip replacement surgery by analyzing computer-aided manufacturing (CAM) data. This improves the safety and quality of orthopedic milling procedures.

Keywords:

CAM software Cutting forces Orthopedic milling Toolpath prediction

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Area of Science:

Orthopedic surgery
Robotics
Biomechanical engineering

Background:

Robotic total hip arthroplasty involves milling the femur for implant placement.
Robotic toolpaths are generated by computer-aided manufacturing (CAM) software.
Accurate prediction of cutting forces is crucial for surgical quality and safety.

Purpose of the Study:

To introduce a novel toolpath force prediction algorithm for orthopedic milling.
To enhance the quality and safety of robotic surgical systems through improved force prediction.

Main Methods:

Developed a custom macro within CAM software to extract cutting contact patch volume from simulations.
Created a time-domain cutting force model using a prediction algorithm based on CAM data.
Validated the algorithm by machining simulated bone and comparing predicted forces with dynamometer measurements.

Main Results:

Predicted cutting forces closely matched measured forces in magnitude and pattern.
Minor distortions in force duration were observed due to motion control inconsistencies.
The algorithm demonstrated effectiveness in predicting forces throughout a simulated hip canal procedure.

Conclusions:

The proposed method offers a rapid and straightforward approach to predicting orthopedic milling forces.
Utilizing data directly from CAM software simplifies the force prediction process.
This technique has the potential to improve robotic surgical system performance.