Deep learning-based femoral reconstruction from intraoperative point clouds for enhanced knee arthroplasty registration.

Maedeh Kafian Safari¹, Morteza Mirzae^2,3, Behnaz Gheflati⁴, Mostafa Sharifzade⁴, Joel Zuhars^2,3, Sunil Rottoo^2,3, Hassan Rivaz⁴

¹Department of Electrical and Computer Engineering, Concordia University, Montreal, QC, Canada. maedeh.kafiansafari@concordia.ca.

²THINK Surgical, Montreal, QC, Canada.

³THINK Surgical, Fremont, CA, USA.

⁴Department of Electrical and Computer Engineering, Concordia University, Montreal, QC, Canada.

PubMed DOI

Abstract

PURPOSE: Computer- and robotic-assisted technologies improve total knee arthroplasty (TKA) through intraoperative bone registration. However, limited bone exposure restricts point collection to the distal femur, omitting key geometric features and reducing registration accuracy and the surgical outcomes. METHODS: We introduce a deep learning-based method to improve bone registration by reconstruc…

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