In this paper we present a new 3D segmentation approach for the vertebrae of the lower thoracic and the lumbar spine in spiral computed tomography datasets. We implemented a multi-step procedure. Its main components are deformable models, volume growing, and morphological operations. The performance analysis that included an evaluation of accuracy using the European Spine Phantom, and of intra-operator precision using clinical CT datasets from 10 patients highlight the potential for clinical use. The intra-operator precision of the segmentation procedure was better than 1% for Bone Mineral Density (BMD) and better than 1.8% for volume. The long-term goal of this work is to enable better fracture prediction and improved patient monitoring in the field of osteoporosis. A true 3D segmentation also enables an accurate measurement of geometrical parameters that can augment the classical measurement of BMD.
翻译:在本文中,我们提出了一个新的三维分解方法,用于在螺旋计算断层摄影数据集中较低色谱和腰椎脊椎的脊椎。我们实施了多步程序。其主要组成部分是可变模型、体积增长和形态操作。绩效分析包括使用欧洲脊柱幻影对准确性进行评估,以及使用10个病人的临床CT数据集对操作人员内部精确性进行评估,这突显出临床使用的可能性。分解程序的内部操作精确度对于骨髓矿物密度(BMD)高于1%,体积则高于1.8%。这项工作的长期目标是在骨质疏松症领域进行更好的断裂预测和改进病人监测。真正的三维分解还有助于准确测量几何参数,从而增强BMD的典型测量。