Automatic anatomical foot and ankle coordinate toolbox.

Automatic anatomical foot and ankle coordinate toolbox.
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DOI:
10.3389/fbioe.2023.1255464
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发表时间:
2023
影响因子:
5.7
通讯作者:
Lenz, Amy L.
Lenz, Amy L.
中科院分区:
工程技术2区
文献类型:
--
作者:
Peterson, Andrew C.;Kruger, Karen M.;Lenz, Amy L.

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在足踝研究中,精确分析骨骼位置和方向依赖于解剖坐标系(ACS)。可靠的ACS对于许多生物力学和临床研究是必要的,特别是那些包括承重计算机断层扫描和双平面荧光透视的研究。现有的ACS方法受到诸如手动输入、过度简化或非生理方法的限制。为了解决这些缺点,我们引入了自动解剖足踝关节坐标计算(AAFACT),这是一个基于MATLAB的工具箱,可以自动计算主要14个足部和踝关节骨骼的ACS。在这篇手稿中,我们提出了AAFACT的发展和评价,旨在提供一个标准化的坐标系统工具箱,足部和踝关节的研究。使用来自7个病理组的五十六个模型的数据集评估AAFACT:无症状、骨关节炎、pilon骨折、进行性塌陷足畸形、马蹄内翻足、Charcot玛丽牙和腔内翻足。进行了三项分析,以评估AAFACT的可靠性。首先,比较自动和手动分割的骨模型之间的ACS,以评估一致性。其次,比较个体骨骼和组平均骨骼之间的ACS,以评估群体内精密度。最后,比较总体平均骨和组平均骨之间的ACS,以评估解剖表示的总体准确性。进行统计分析,包括统计形状建模,以评价AAFACT的可靠性、准确性和精密度。自动和手动分割的骨模型之间的比较显示计算的ACS之间的一致性。此外,个体骨骼和组平均骨骼之间的比较以及总体平均骨骼和组平均骨骼之间的比较显示了准确和精确的ACS计算。AAFACT为临床和工程环境中的足部和踝关节研究提供了实用可靠的解决方案。它适应各种足部和踝关节病变,同时考虑骨形态和方向。ACS的自动计算消除了与手动输入和非生理方法相关的限制。评估结果证明了AAFACT的鲁棒性和一致性,使其成为研究人员和临床医生的宝贵工具。AAFACT提供的标准化坐标系统增强了研究之间的可比性,促进了足部和踝关节研究的进步。
Accurate analysis of bone position and orientation in foot and ankle studies relies on anatomical coordinate systems (ACS). Reliable ACSs are necessary for many biomechanical and clinical studies, especially those including weightbearing computed tomography and biplane fluoroscopy. Existing ACS approaches suffer from limitations such as manual input, oversimplifications, or non-physiological methods. To address these shortcomings, we introduce the Automatic Anatomical Foot and Ankle Coordinate Toolbox (AAFACT), a MATLAB-based toolbox that automates the calculation of ACSs for the major fourteen foot and ankle bones. In this manuscript, we present the development and evaluation of AAFACT, aiming to provide a standardized coordinate system toolbox for foot and ankle studies. The AAFACT was evaluated using a dataset of fifty-six models from seven pathological groups: asymptomatic, osteoarthritis, pilon fracture, progressive collapsing foot deformity, clubfoot, Charcot Marie Tooth, and cavovarus. Three analyses were conducted to assess the reliability of AAFACT. Firstly, ACSs were compared between automatically and manually segmented bone models to assess consistency. Secondly, ACSs were compared between individual bones and group mean bones to assess within-population precision. Lastly, ACSs were compared between the overall mean bone and group mean bones to assess the overall accuracy of anatomical representation. Statistical analyses, including statistical shape modeling, were performed to evaluate the reliability, accuracy, and precision of AAFACT. The comparison between automatically and manually segmented bone models showed consistency between the calculated ACSs. Additionally, the comparison between individual bones and group mean bones, as well as the comparison between the overall mean bone and group mean bones, revealed accurate and precise ACSs calculations. The AAFACT offers a practical and reliable solution for foot and ankle studies in clinical and engineering settings. It accommodates various foot and ankle pathologies while accounting for bone morphology and orientation. The automated calculation of ACSs eliminates the limitations associated with manual input and non-physiological methods. The evaluation results demonstrate the robustness and consistency of AAFACT, making it a valuable tool for researchers and clinicians. The standardized coordinate system provided by AAFACT enhances comparability between studies and facilitates advancements in foot and ankle research.
DOI: 10.1177/10711007221078001
发表时间: 2022-06
影响因子: 2.7
作者:
Lenz, Amy L.;Lisonbee, Rich J.;Peterson, Andrew C.;Roach, Koren E.;Foreman, K. Bo;Barg, Alexej;Anderson, Andrew E.
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影响因子: 2.7
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影响因子: 2.9
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