Trauma and Reconstructive Surgery, Center of Orthopedics , Traumatology, and Spinal Cord Injury, Heidelberg University Hospital , Schlierbacher Landstraße 200a, Heidelberg 69118, Germany ; HTRG - Heidelberg Trauma Research Group , Schlierbacher Landstraße 200a , Heidelberg 69118, Germany.
Clinic of Diagnostic and Interventional Radiology (DIR) , Heidelberg University Hospital , Im Neuenheimer Feld 110, Heidelberg 69120, Germany.
R Soc Open Sci. 2015 Nov 11;2(11):150496. doi: 10.1098/rsos.150496. eCollection 2015 Nov.
Bone tissue engineering and bone scaffold development represent two challenging fields in orthopaedic research. Micro-computed tomography (mCT) allows non-invasive measurement of these scaffolds' properties in vivo. However, the lack of standardized mCT analysis protocols and, therefore, the protocols' user-dependency make interpretation of the reported results difficult. To overcome these issues in scaffold research, we introduce the Heidelberg-mCT-Analyzer. For evaluation of our technique, we built 10 bone-inducing scaffolds, which underwent mCT acquisition before ectopic implantation (T0) in mice, and at explantation eight weeks thereafter (T1). The scaffolds' three-dimensional reconstructions were automatically segmented using fuzzy clustering with fully automatic level-setting. The scaffold itself and its pores were then evaluated for T0 and T1. Analysing the scaffolds' characteristic parameter set with our quantification method showed bone formation over time. We were able to demonstrate that our algorithm obtained the same results for basic scaffold parameters (e.g. scaffold volume, pore number and pore volume) as other established analysis methods. Furthermore, our algorithm was able to analyse more complex parameters, such as pore size range, tissue mineral density and scaffold surface. Our imaging and post-processing strategy enables standardized and user-independent analysis of scaffold properties, and therefore is able to improve the quantitative evaluations of scaffold-associated bone tissue-engineering projects.
骨组织工程和骨支架开发是骨科研究中的两个具有挑战性的领域。微计算机断层扫描(micro-CT,mCT)允许在体内非侵入性地测量这些支架的特性。然而,缺乏标准化的 mCT 分析协议,以及因此导致的协议的用户依赖性,使得对报告结果的解释变得困难。为了解决支架研究中的这些问题,我们引入了 Heidelberg-mCT-Analyzer。为了评估我们的技术,我们构建了 10 个诱导骨形成的支架,这些支架在异位植入前(T0)在小鼠体内进行了 mCT 采集,并在 8 周后(T1)进行了离体。使用完全自动的水平集的模糊聚类自动对支架的三维重建进行分割。然后,对支架本身及其孔隙在 T0 和 T1 时进行评估。使用我们的定量方法分析支架的特征参数集显示了随时间的骨形成。我们能够证明,我们的算法对于基本支架参数(例如支架体积、孔隙数量和孔隙体积)获得了与其他已建立的分析方法相同的结果。此外,我们的算法还能够分析更复杂的参数,如孔径范围、组织矿物质密度和支架表面。我们的成像和后处理策略能够实现支架特性的标准化和用户独立分析,因此能够提高与支架相关的骨组织工程项目的定量评估。