Evaluation of automated radiostereometric image registration in total knee arthroplasty utilizing a synthetic-based and a CT-based volumetric model

Emil Toft Petersen*, Tobias Dahl Vind, Jonathan Hugo Jürgens-Lahnstein, Rasmus Christensen, Sepp de Raedt, Annemarie Brüel, Søren Rytter, Michael Skipper Andersen, Maiken Stilling

*Corresponding author for this work

Research output: Contribution to journalJournal articleResearchpeer-review

4 Citations (Scopus)
17 Downloads (Pure)

Abstract

Radiostereometic analysis (RSA) is an accurate method for rigid body pose (position and orientation) in three-dimensional space. Traditionally, RSA is based on insertion of periprosthetic tantalum markers and manual implant contour selection which limit clinically application. We propose an automated image registration technique utilizing digitally reconstructed radiographs (DRR) of computed tomography (CT) volumetric bone models (autorsa-bone) as a substitute for tantalum markers. Furthermore, an automated synthetic volumetric representation of total knee arthroplasty implant models (autorsa-volume) to improve previous silhouette-projection methods (autorsa-surface). As reference, we investigated the accuracy of implanted tantalum markers (marker) or a conventional manually contour-based method (mbrsa) for the femur and tibia. The data are presented as mean (standard deviation). The autorsa-bone method displayed similar accuracy of -0.013 (0.075) mm compared to the gold standard method (marker) of -0.013 (0.085). The autorsa-volume with 0.034 (0.106) mm did not markedly improve the autorsa-surface with 0.002 (0.129) mm, and none of these reached the mbrsa method of -0.009 (0.094) mm. In conclusion, marker-free RSA is feasible with similar accuracy as gold standard utilizing DRR and CT obtained volumetric bone models. Furthermore, utilizing synthetic generated volumetric implant models could not improve the silhouette-based method. However, with a slight loss of accuracy the autorsa methods provide a feasible automated alternative to the semi-automated method.

Original languageEnglish
JournalJournal of Orthopaedic Research
Volume41
Issue number2
Pages (from-to)436-446
Number of pages11
ISSN0736-0266
DOIs
Publication statusPublished - Feb 2023

Bibliographical note

© 2022 The Authors. Journal of Orthopaedic Research® published by Wiley Periodicals LLC on behalf of Orthopaedic Research Society.

Keywords

  • Arthroplasty, Replacement, Knee
  • Knee Prosthesis
  • Radiostereometric Analysis/methods
  • Tantalum
  • Tomography, X-Ray Computed/methods
  • RSA
  • total knee arthroplasty
  • automated
  • image registration
  • radiostereometry

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