An Optimized Method for Microcomputed Tomography Analysis of Trabecular Parameters of Metal Scaffolds for Bone Ingrowth
An Optimized Method for Microcomputed Tomography Analysis of Trabecular Parameters of Metal Scaffolds for Bone Ingrowth
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DOI：
10.1089/ten.tec.2023.0076
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发表时间：
2023-06-01
影响因子：
3
通讯作者：
Xiao，Yin
中科院分区：
文献类型：
--
作者：
Li，Zhengmao;Zhang，Qing;Xiao，Yin
金属钛具有优异的力学性能和生物学性能，广泛应用于牙科植入物、骨科器械、骨再生材料等领域。3D打印技术的进步导致越来越多的金属支架被用于骨科应用。在动物实验中，微计算机断层扫描(μCT)通常被用来评价新形成的骨组织和支架的结合。然而，金属伪影的存在极大地阻碍了μCT分析新骨形成的准确性。为了获得可靠和准确的反映体内新骨形成的μCT结果，减少金属伪影的影响是至关重要的。在此，开发了一种使用组织学数据校准μCT参数的优化程序。本研究在计算机辅助设计的基础上，采用粉末床熔融法制备了多孔钛支架。这些支架被植入新西兰兔造成的股骨缺损处。8周后，收集组织样本，用μCT分析评估新骨形成。然后用树脂包埋的组织切片进行进一步的组织学分析。在μCT分析软件(CTAN)中分别设置侵蚀半径和扩张半径，得到一系列伪影二维(2D)μCT图像。为了使μCT结果更接近真实值，随后通过匹配特定区域的组织学图像来选择2DμCT图像和相应的参数。应用优化后的参数，获得了更精确的3D图像和更逼真的统计数据。结果表明，新建立的μCT参数调整方法能在一定程度上有效降低金属伪影对数据分析的影响。为了进一步验证，应使用本研究中建立的流程分析其他金属材料。
Owing to its superior mechanical and biological properties, titanium metal is widely used in dental implants, orthopedic devices, and bone regenerative materials. Advances in 3D printing technology have led to more and more metal-based scaffolds being used in orthopedic applications. Microcomputed tomography (μCT) is commonly applied to evaluate the newly formed bone tissues and scaffold integration in animal studies. However, the presence of metal artifacts dramatically hinders the accuracy of μCT analysis of new bone formation. To acquire reliable and accurate μCT results that reflect new bone formationin vivo, it is crucial to lessen the impact of metal artifacts. Herein, an optimized procedure for calibrating μCT parameters using histological data was developed. In this study, the porous titanium scaffolds were fabricated by powder bed fusion based on computer-aided design. These scaffolds were implanted in femur defects created in New Zealand rabbits. After 8 weeks, tissue samples were collected to assess new bone formation using μCT analysis. Resin-embedded tissue sections were then used for further histological analysis. A series of deartifact two-dimensional (2D) μCT images were obtained by setting the erosion radius and the dilation radius in the μCT analysis software (CTan) separately. To get the μCT results closer to the real value, the 2D μCT images and corresponding parameters were subsequently selected by matching the histological images in the particular region. After applying the optimized parameters, more accurate 3D images and more realistic statistical data were obtained. The results demonstrate that the newly established method of adjusting μCT parameters can effectively reduce the influence of metal artifacts on data analysis to some extent. For further validation, other metal materials should be analyzed using the process established in this study.