Statistical shape model-based estimation of registration error in computer-assisted total knee arthroplasty.

Behnaz Gheflati¹, Morteza Mirzaei², Joel Zuhars², Sunil Rottoo², Hassan Rivaz³

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

²Think Surgical Inc., Montreal, QC, Canada.

³Department of Electrical and Computer Engineering, Concordia University, Montreal, QC, Canada.

PubMed DOI

Abstract

PURPOSE: Computer-assisted surgical navigation systems have been developed to improve the precision of total knee arthroplasty (TKA) by providing real-time guidance on implant alignment relative to patient anatomy. However, surface registration remains a key source of error that can propagate through the surgical workflow. This study investigates how patient-specific femoral bone geometry influenc…

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