Petersson Joel, Brismar Torkel, Smedby Orjan
Center for Medical Image Science and Visualization (CMIV), Linköping University, Sweden.
Med Image Comput Comput Assist Interv. 2006;9(Pt 2):880-7. doi: 10.1007/11866763_108.
In view of the great effects of osteoporosis on public health, it would be of great value to be able to measure the three-dimensional structure of trabecular bone in vivo as a means to diagnose and quantify the disease. The aim of this work was to implement a method for quantitative characterisation of trabecular bone structure using clinical CT. Several previously described parameters have been calculated from volumes acquired with a 64-slice clinical scanner. Using automated region growing, distance transforms and three-dimensional thinning, measures describing the number, thickness and spacing of bone trabeculae was obtained. Fifteen bone biopsies were analysed. The results were evaluated using micro-CT as reference. For most parameters studied, the absolute values did not agree well with the reference method, but several parameters were closely correlated with the reference method. The shortcomings appear to be due to the low resolution and high noise level. However, the high correlation found between clinical CT and micro-CT measurements suggest that it might be possible to monitor changes in the trabecular structure in vivo.
鉴于骨质疏松症对公众健康的巨大影响,能够在体内测量松质骨的三维结构作为诊断和量化该疾病的一种手段将具有重大价值。这项工作的目的是实施一种使用临床CT对松质骨结构进行定量表征的方法。从用64层临床扫描仪获取的体积中计算出了几个先前描述的参数。通过自动区域生长、距离变换和三维细化,获得了描述骨小梁数量、厚度和间距的测量值。分析了15份骨活检样本。以微型CT作为参考对结果进行评估。对于大多数研究的参数,绝对值与参考方法的一致性不佳,但有几个参数与参考方法密切相关。这些缺点似乎是由于低分辨率和高噪声水平造成的。然而,临床CT和微型CT测量之间发现的高度相关性表明,有可能在体内监测松质骨结构的变化。