Robust variational segmentation of 3D bone CT data with thin cartilage interfaces
Robust variational segmentation of 3D bone CT data with thin cartilage interfaces
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DOI：
10.1016/j.media.2018.04.003
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发表时间：
2018-07-01
影响因子：
10.9
通讯作者：
Schillinger, Dominik
中科院分区：
文献类型：
--
作者：
Gangwar, Tarun;Calder, Jeff;Schillinger, Dominik
我们提出了一种用于分割 3D 骨 CT 数据的两阶段变分方法，该方法在薄软骨界面方面表现稳健。在第一阶段，我们最小化通量增强的 Chan-Vese 模型，该模型可以准确分割分离良好的区域。在第二阶段，我们应用了一种新的相场断裂启发模型，该模型能够可靠地消除薄软骨界面上的假桥，从而产生准确的分割拓扑，从中可以识别每个骨骼对象。其数学公式基于变分断裂的相场方法，自然地与变分分割方法融合在一起。我们成功测试并验证了 3D 股骨和椎骨分割方法，其特征是髋关节、椎间盘和棘突滑膜关节中的薄软骨区域。新方法的主要优势在于其在通用有限元框架中实现完全自动化以及与下游预测骨骼模拟无缝集成的潜力。由 Elsevier B.V. 出版
We present a two-stage variational approach for segmenting 3D bone CT data that performs robustly with respect to thin cartilage interfaces. In the first stage, we minimize a flux-augmented Chan-Vese model that accurately segments well-separated regions. In the second stage, we apply a new phase-field fracture inspired model that reliably eliminates spurious bridges across thin cartilage interfaces, resulting in an accurate segmentation topology, from which each bone object can be identified. Its mathematical formulation is based on the phase-field approach to variational fracture, which naturally blends with the variational approach to segmentation. We successfully test and validate our methodology for the segmentation of 3D femur and vertebra bones, which feature thin cartilage regions in the hip joint, the intervertebral disks, and synovial joints of the spinous processes. The major strength of the new methodology is its potential for full automation and seamless integration with downstream predictive bone simulation in a common finite element framework. Published by Elsevier B.V.