AO Foundation, Clavadelerstrasse 8, Davos Platz, Switzerland.
J Digit Imaging. 2011 Jun;24(3):437-45. doi: 10.1007/s10278-010-9287-4.
A pragmatic method for assessing the accuracy and precision of a given processing pipeline required for converting computed tomography (CT) image data of bones into representative three dimensional (3D) models of bone shapes is proposed. The method is based on coprocessing a control object with known geometry which enables the assessment of the quality of resulting 3D models. At three stages of the conversion process, distance measurements were obtained and statistically evaluated. For this study, 31 CT datasets were processed. The final 3D model of the control object contained an average deviation from reference values of -1.07 ± 0.52 mm standard deviation (SD) for edge distances and -0.647 ± 0.43 mm SD for parallel side distances of the control object. Coprocessing a reference object enables the assessment of the accuracy and precision of a given processing pipeline for creating CT-based 3D bone models and is suitable for detecting most systematic or human errors when processing a CT-scan. Typical errors have about the same size as the scan resolution.
提出了一种用于评估将骨骼的计算机断层扫描 (CT) 图像数据转换为骨骼形状的代表性三维 (3D) 模型的特定处理管道的准确性和精密度的实用方法。该方法基于与具有已知几何形状的对照物体进行共处理，从而能够评估所得 3D 模型的质量。在转换过程的三个阶段，进行了距离测量并进行了统计评估。在这项研究中，处理了 31 个 CT 数据集。对照物体的最终 3D 模型的边缘距离的平均偏差为参考值的-1.07 ± 0.52 毫米标准偏差 (SD)，平行边距离的平均偏差为参考值的-0.647 ± 0.43 毫米 SD。对照物体的共处理可用于评估用于创建基于 CT 的 3D 骨骼模型的特定处理管道的准确性和精密度，并且适用于检测处理 CT 扫描时的大多数系统或人为错误。典型错误的大小与扫描分辨率大致相同。
