Ehrhardt J, Handels H, Malina T, Strathmann B, Plötz W, Pöppl S J
Institute for Medical Informatics, Medical University of Lübeck, Ratzeburger Allee 160, 23538 Lübeck, Germany.
Int J Med Inform. 2001 Dec;64(2-3):439-47. doi: 10.1016/s1386-5056(01)00212-x.
Two 3-D digitised atlases of a female and a male pelvis were generated to support the virtual 3-D planning of hip operations. The anatomical atlases were designed to replace the interactive, time-consuming pre-processing steps for the virtual operation planning. Each atlas consists of a labelled reference CT data set and a set of anatomical point landmarks. The paper presents methods for the automatic transfer of these anatomical labels to an individual patient data set. The labelled patient data are used to generate 3-D models of the patient's bone structures. Besides the anatomical labelling, the determination of measures, like angles, distances or sizes of contact areas, is important for the planning of hip operations. Thus, algorithms for the automatic computation of orthopaedic parameters were implemented. A first evaluation of the presented atlas-based segmentation method shows a correct labelling of 98.5% of the bony voxels.
生成了女性和男性骨盆的两个三维数字化图谱,以支持髋关节手术的虚拟三维规划。解剖图谱旨在取代虚拟手术规划中交互式、耗时的预处理步骤。每个图谱由一个带标签的参考CT数据集和一组解剖学点地标组成。本文介绍了将这些解剖标签自动转移到个体患者数据集的方法。带标签的患者数据用于生成患者骨骼结构的三维模型。除了解剖标记外,确定角度、距离或接触区域大小等测量值对于髋关节手术的规划也很重要。因此,实现了用于自动计算骨科参数的算法。对所提出的基于图谱的分割方法的首次评估显示,98.5%的骨体素标记正确。