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一种在X线片上测定膝关节骨关节炎股骨-胫骨角的新方法:来自骨关节炎倡议组织的数据。

A novel method for determining the Femoral-Tibial Angle of Knee Osteoarthritis on X-ray radiographs: data from the Osteoarthritis Initiative.

作者信息

Wahyuningrum Rima Tri, Purnama I Ketut Eddy, Verkerke Gijsbertus Jacob, van Ooijen Peter M A, Purnomo Mauridhi Hery

机构信息

Department of Electrical Engineering, Institut Teknologi Sepuluh Nopember, Surabaya, Indonesia.

Department of Informatics, Universitas Trunojoyo Madura, Bangkalan, Indonesia.

出版信息

Heliyon. 2020 Aug 4;6(8):e04433. doi: 10.1016/j.heliyon.2020.e04433. eCollection 2020 Aug.

Abstract

Femoral-tibial alignment is a prominent risk factor for Knee Osteoarthritis (KOA) incidence and progression. One way of assessing alignment is by determining the Femoral-Tibial Angle (FTA). Several studies have investigated FTA determination; however, methods of assessment of FTA still present challenges. This paper introduces a new method for semi-automatic measurement of FTA as part of KOA research. Our novel approach combines preprocessing of X-ray images and the use of Active Shape Model (ASM) as the femoral and tibial segmentation method, followed by a thinning process. The result of the thinning process is used to predict FTA automatically by measuring the angle between the intersection of the two vectors of branching points on the femoral and tibial areas. The proposed method is trained on 10 x-ray images and tested on 50 different x-ray images of the Osteoarthritis Initiative (OAI) dataset. The outcomes of this approach were compared with manually obtained FTA measurements from the OAI dataset as the ground truth. Based on experiments, the difference in measurement results between the FTA of the OAI and the FTA obtained using our method is quite small, i.e., below 0.81° for the right FTA and below 0.77° for the left FTA with minimal average errors. This result indicates that this method is clinically suitable for semi-automatic measurement of the FTA.

摘要

股胫对线是膝关节骨关节炎(KOA)发病和进展的一个突出风险因素。评估对线的一种方法是确定股胫角(FTA)。已有多项研究对FTA的测定进行了调查;然而,FTA的评估方法仍然存在挑战。本文介绍了一种作为KOA研究一部分的FTA半自动测量新方法。我们的新方法结合了X射线图像的预处理以及使用主动形状模型(ASM)作为股骨和胫骨的分割方法,随后进行细化处理。细化处理的结果用于通过测量股骨和胫骨区域上分支点的两个向量交点之间的角度来自动预测FTA。所提出的方法在10张X射线图像上进行训练,并在骨关节炎倡议(OAI)数据集的50张不同X射线图像上进行测试。将该方法的结果与从OAI数据集中手动获得的FTA测量值作为基准真值进行比较。基于实验,OAI的FTA与使用我们的方法获得的FTA之间的测量结果差异非常小,即右侧FTA低于0.81°,左侧FTA低于0.77°,平均误差最小。这一结果表明该方法在临床上适用于FTA的半自动测量。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/cd72/7404555/92efa9acf20d/gr1.jpg

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