Automatic and Robust Skull Registration Based on Discrete Uniformization
Automatic and Robust Skull Registration Based on Discrete Uniformization
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DOI：
10.1109/iccv.2019.00052
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发表时间：
2019-10
期刊：
影响因子：
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通讯作者：
Junli Zhao;Xin Qi;Chengfeng Wen;Na Lei;X. Gu
中科院分区：
文献类型：
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作者：
Junli Zhao;Xin Qi;Chengfeng Wen;Na Lei;X. Gu
颅骨配准在法医学中起着基础性的作用，对颅面重建至关重要。复杂的拓扑结构，缺乏解剖特征，以及低质量的重建网格使颅骨配准具有挑战性。在这项工作中，我们提出了一种自动颅骨配准方法的基础上离散均匀化理论，它可以处理复杂的拓扑结构，并对低质量的网格是鲁棒的。我们应用动态Yamabe流实现离散均匀化，在流动过程中修改网格组合结构，并将多连通颅骨表面共形映射到具有圆孔的平面圆盘上。3D表面可以通过使用谐波映射匹配它们的平面图像来配准。该方法具有严格的理论保证、无需用户干预的自动化、对低质量网格具有鲁棒性等优点。我们的实验结果证明了该方法的效率和有效性。
Skull registration plays a fundamental role in forensic science and is crucial for craniofacial reconstruction. The complicated topology, lack of anatomical features, and low quality reconstructed mesh make skull registration challenging. In this work, we propose an automatic skull registration method based on the discrete uniformization theory, which can handle complicated topologies and is robust to low quality meshes. We apply dynamic Yamabe flow to realize discrete uniformization, which modifies the mesh combinatorial structure during the flow and conformally maps the multiply connected skull surface onto a planar disk with circular holes. The 3D surfaces can be registered by matching their planar images using harmonic maps. This method is rigorous with theoretic guarantee, automatic without user intervention, and robust to low mesh quality. Our experimental results demonstrate the efficiency and efficacy of the method.