2022
DOI: 10.1002/jor.25359
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Evaluation of automated radiostereometric image registration in total knee arthroplasty utilizing a synthetic‐based and a CT‐based volumetric model

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 syn… Show more

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Cited by 6 publications
(7 citation statements)
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“…Furthermore, our results indicate that the precision achieved through the low-dose protocol surpasses that of RSA when assessing tibial implants [ 10 ]. The results in the Table also indicate that the lower precision in out-of-plane motions that RSA studies may be subject to is hardly relevant to CT-RSA [ 21 - 22 ].…”
Section: Discussionmentioning
confidence: 99%
“…Furthermore, our results indicate that the precision achieved through the low-dose protocol surpasses that of RSA when assessing tibial implants [ 10 ]. The results in the Table also indicate that the lower precision in out-of-plane motions that RSA studies may be subject to is hardly relevant to CT-RSA [ 21 - 22 ].…”
Section: Discussionmentioning
confidence: 99%
“…The bone models were registered automatically to the bone structures in all dRSA images using the AutoRSA software and a two‐stage registration process (Figure 4) (AutoRSA Research Group, Orthopaedic Research Unit, Aarhus, Denmark) [10]. Briefly, the software utilises digitally reconstructed radiographs to estimate the model pose according to the dRSA images using a normalised gradient correlation approach [10, 41, 42, 50]. Approximately 45 dRSA images were analysed for each pivot‐shift test.…”
Section: Methodsmentioning
confidence: 99%
“…the dRSA images using a normalised gradient correlation approach [10,41,42,50]. Approximately 45 dRSA images were analysed for each pivotshift test.…”
Section: Stereoradiographic Analysismentioning
confidence: 99%
“…The optimal model pose was found by minimizing the difference between the virtually generated projection image and the actual stereoradiographs using a normalized gradient correlation approach [5, 19]. The mathematical optimization algorithms, including the accuracy, have been described in more detail [7, 41]. The manufacturer supplied three‐dimensional triangular implant surface models containing approximately 5,000 vertices each.…”
Section: Methodsmentioning
confidence: 99%