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利用基于合成和基于 CT 的容积模型评估全膝关节置换中的自动放射立体图像配准。

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

机构信息

University Clinic for Hand, Hip and Knee Surgery, Holstebro Central Hospital, Holstebro, Denmark.

Department of Clinical Medicine, Aarhus University, Aarhus, Denmark.

出版信息

J Orthop Res. 2023 Feb;41(2):436-446. doi: 10.1002/jor.25359. Epub 2022 May 27.

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.

摘要

放射学空间分析(RSA)是一种用于三维空间中刚体姿态(位置和方向)的精确方法。传统上,RSA 基于假体周围钽标记的插入和手动植入物轮廓选择,这限制了其临床应用。我们提出了一种利用计算机断层扫描(CT)容积骨模型的数字重建放射图像(DRR)(autorsa-bone)作为钽标记替代物的自动图像配准技术。此外,还提出了一种自动合成全膝关节置换植入物模型的容积表示方法(autorsa-volume),以改进以前的轮廓投影方法(autorsa-surface)。作为参考,我们研究了植入的钽标记(marker)或传统的手动基于轮廓的方法(mbrsa)对股骨和胫骨的准确性。数据以平均值(标准差)表示。与金标准方法(marker)相比,autorsa-bone 方法的精度相似,为 -0.013(0.075)mm。而 autorsa-volume 方法的精度为 0.034(0.106)mm,并没有明显优于 autorsa-surface 方法的 0.002(0.129)mm,而且这三种方法都没有达到 mbrsa 方法的精度,为 -0.009(0.094)mm。总之,利用 DRR 和 CT 获得的容积骨模型,无标记 RSA 是可行的,且具有与金标准相似的精度。此外,利用合成生成的容积植入物模型并不能改进基于轮廓的方法。然而,autorsa 方法的准确性略有下降,但提供了一种可行的半自动替代方法。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3eab/10084430/51dc6a2e244d/JOR-41-436-g001.jpg

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