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


Journal

Journal of orthopaedic research : official publication of the Orthopaedic Research Society
ISSN: 1554-527X
Titre abrégé: J Orthop Res
Pays: United States
ID NLM: 8404726

Informations de publication

Date de publication:
02 2023
Historique:
revised: 28 03 2022
received: 05 01 2022
accepted: 05 05 2022
pubmed: 10 5 2022
medline: 13 1 2023
entrez: 9 5 2022
Statut: ppublish

Résumé

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.

Identifiants

pubmed: 35532010
doi: 10.1002/jor.25359
pmc: PMC10084430
doi:

Substances chimiques

Tantalum 6424HBN274

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

436-446

Informations de copyright

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

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Auteurs

Emil Toft Petersen (ET)

University Clinic for Hand, Hip and Knee Surgery, Holstebro Central Hospital, Holstebro, Denmark.
Department of Clinical Medicine, Aarhus University, Aarhus, Denmark.
AutoRSA Research Group, Orthopaedic Research Unit, Aarhus University Hospital, Aarhus, Denmark.

Tobias Dahl Vind (TD)

Department of Clinical Medicine, Aarhus University, Aarhus, Denmark.
AutoRSA Research Group, Orthopaedic Research Unit, Aarhus University Hospital, Aarhus, Denmark.

Jonathan Hugo Jürgens-Lahnstein (JH)

Department of Clinical Medicine, Aarhus University, Aarhus, Denmark.
AutoRSA Research Group, Orthopaedic Research Unit, Aarhus University Hospital, Aarhus, Denmark.

Rasmus Christensen (R)

Department of Clinical Medicine, Aarhus University, Aarhus, Denmark.
AutoRSA Research Group, Orthopaedic Research Unit, Aarhus University Hospital, Aarhus, Denmark.

Sepp de Raedt (S)

AutoRSA Research Group, Orthopaedic Research Unit, Aarhus University Hospital, Aarhus, Denmark.

Annemarie Brüel (A)

Department of Biomedicine, Aarhus University, Aarhus, Denmark.

Søren Rytter (S)

Department of Clinical Medicine, Aarhus University, Aarhus, Denmark.
AutoRSA Research Group, Orthopaedic Research Unit, Aarhus University Hospital, Aarhus, Denmark.
Department of Orthopaedic Surgery, Aarhus University Hospital, Aarhus, Denmark.

Michael Skipper Andersen (MS)

Department of Materials and Production, Aalborg University, Aalborg, Denmark.

Maiken Stilling (M)

Department of Clinical Medicine, Aarhus University, Aarhus, Denmark.
AutoRSA Research Group, Orthopaedic Research Unit, Aarhus University Hospital, Aarhus, Denmark.
Department of Orthopaedic Surgery, Aarhus University Hospital, Aarhus, Denmark.

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Classifications MeSH