Cavazzoni Giulia, Cristofolini Luca, Dall'Ara Enrico, Palanca Marco
Department of Industrial Engineering, School of Engineering and Architecture, Alma Mater Studiorum-University of Bologna, Bologna, Italy.
Department of Oncology and Metabolism, The University of Sheffield, Sheffield, United Kingdom.
Front Bioeng Biotechnol. 2023 Mar 16;11:1152358. doi: 10.3389/fbioe.2023.1152358. eCollection 2023.
Measurement uncertainties of Digital Volume Correlation (DVC) are influenced by several factors, like input images quality, correlation algorithm, bone type, etc. However, it is still unknown if highly heterogeneous trabecular microstructures, typical of lytic and blastic metastases, affect the precision of DVC measurements. Fifteen metastatic and nine healthy vertebral bodies were scanned twice in zero-strain conditions with a micro-computed tomography (isotropic voxel size = 39 μm). The bone microstructural parameters (Bone Volume Fraction, Structure Thickness, Structure Separation, Structure Number) were calculated. Displacements and strains were evaluated through a global DVC approach (BoneDVC). The relationship between the standard deviation of the error (SDER) and the microstructural parameters was investigated in the entire vertebrae. To evaluate to what extent the measurement uncertainty is influenced by the microstructure, similar relationships were assessed within sub-regions of interest. Higher variability in the SDER was found for metastatic vertebrae compared to the healthy ones (range 91-1030 με versus 222-599 με). A weak correlation was found between the SDER and the Structure Separation in metastatic vertebrae and in the sub-regions of interest, highlighting that the heterogenous trabecular microstructure only weakly affects the measurement uncertainties of BoneDVC. No correlation was found for the other microstructural parameters. The spatial distribution of the strain measurement uncertainties seemed to be associated with regions with reduced greyscale gradient variation in the microCT images. Measurement uncertainties cannot be taken for granted but need to be assessed in each single application of the DVC to consider the minimum unavoidable measurement uncertainty when interpreting the results.
数字体积相关技术(DVC)的测量不确定度受多种因素影响,如输入图像质量、相关算法、骨类型等。然而,对于溶骨性和成骨性转移典型的高度异质小梁微结构是否会影响DVC测量的精度,目前仍不清楚。对15个转移椎体和9个健康椎体在零应变条件下用微型计算机断层扫描(各向同性体素大小 = 39μm)进行了两次扫描。计算了骨微结构参数(骨体积分数、结构厚度、结构间距、结构数量)。通过全局DVC方法(BoneDVC)评估位移和应变。研究了整个椎骨中误差标准差(SDER)与微结构参数之间的关系。为了评估测量不确定度受微结构影响的程度,在感兴趣的子区域内评估了类似的关系。与健康椎体相比,转移椎体的SDER变异性更高(范围为91 - 1030με对222 - 599με)。在转移椎体和感兴趣的子区域中,发现SDER与结构间距之间存在弱相关性,这突出表明异质小梁微结构仅对BoneDVC的测量不确定度有微弱影响。其他微结构参数未发现相关性。应变测量不确定度的空间分布似乎与微CT图像中灰度梯度变化减小的区域有关。测量不确定度不能被视为理所当然,而是需要在DVC的每次单独应用中进行评估,以便在解释结果时考虑最小不可避免的测量不确定度。