Department of Computer Engineering, Kyung Hee University, South Korea.
Department of Computer Engineering, Kyung Hee University, South Korea.
Comput Med Imaging Graph. 2017 Jun;58:45-55. doi: 10.1016/j.compmedimag.2017.02.002. Epub 2017 Mar 1.
Automatic vertebrae segmentation and localization in CT images are essential in many medical treatments such as disease diagnosis and surgical planning. However, vertebra is one of the most complex organs to locate precisely due to its complex shape, deformation and occlusion by other organs. In this paper, we propose to incorporate local appearance features with global translational symmetry and local reflection symmetry features. Symmetrical structure of each vertebra provides strong cue for accurate localization. In order to efficiently investigate 3-dimensional reflection symmetry in CT images, we propose a Sphere Surface Expansion method and iterative optimization framework. Quantitative and qualitative evaluations show that the proposed method outperforms existing localization method.
在 CT 图像中自动进行脊椎分割和定位在许多医学治疗中非常重要，例如疾病诊断和手术规划。然而，由于脊椎形状复杂、变形以及被其他器官遮挡，因此要准确定位脊椎是最具挑战性的任务之一。在本文中，我们提出将局部外观特征与全局平移对称和局部反射对称特征相结合。每个脊椎的对称结构为准确的定位提供了有力的线索。为了有效地研究 CT 图像中的三维反射对称，我们提出了一种球面对称扩展方法和迭代优化框架。定量和定性评估表明，所提出的方法优于现有的定位方法。
