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首页> 外文会议>Conference on Medical Imaging 2008: Visualization, Image-Guided Procedures, and Modeling; 20080217-19; San Diego,CA(US) >Acetabular rim and surface segmentation for hip surgery planning and dysplasia evaluation
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Acetabular rim and surface segmentation for hip surgery planning and dysplasia evaluation

机译：髋臼边缘和表面分割用于髋关节手术计划和发育不良评估

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摘要

Knowledge of the acetabular rim and surface can be invaluable for hip surgery planning and dysplasia evaluation. The acetabular rim can also be used as a landmark for registration purposes. At the present time acetabular features are mostly extracted manually at great cost of time and human labor. Using a recent level set algorithm that can evolve on the surface of a 3D object represented by a triangular mesh we automatically extracted rims and surfaces of acetabulae. The level set is guided by curvature features on the mesh. It can segment portions of a surface that are bounded by a line of extremal curvature (ridgeline or crestline). The rim of the acetabulum is such an extremal curvature line. Our material consists of eight hemi-pelvis surfaces. The algorithm is initiated by putting a small circle (level set seed) at the center of the acetabular surface. Because this surface distinctively has the form of a cup we were able to use the Shape Index feature to automatically extract an approximate center. The circle then expands and deforms so as to take the shape of the acetabular rim. The results were visually inspected. Only minor errors were detected. The algorithm also proved to be robust. Seed placement was satisfactory for the eight hemi-pelvis surfaces without changing any parameters. For the level set evolution we were able to use a single set of parameters for seven out of eight surfaces.
机译：髋臼边缘和表面的知识对于髋关节手术计划和发育异常评估可能是无价的。髋臼边缘还可以用作注册的界标。目前，髋臼的特征大多是手工提取的，这要花费大量的时间和人力。使用最新的水平集算法，该算法可以在由三角形网格代表的3D对象的表面上演化，我们自动提取了髋臼的边缘和表面。水平集由网格上的曲率特征引导。它可以分割由极曲率线（山脊线或峰顶线）界定的表面部分。髋臼的边缘就是这样的极曲率线。我们的材料由八个半骨盆表面组成。通过在髋臼表面的中心放置一个小圆圈（水平设定种子）来启动该算法。由于该表面具有独特的杯子形状，因此我们可以使用“形状指数”功能自动提取近似中心。然后，圆膨胀并变形，以呈现髋臼缘的形状。目视检查结果。仅检测到小错误。该算法也被证明是鲁棒的。在不改变任何参数的情况下，八个半骨盆表面的种子放置令人满意。对于水平集演化，我们能够对八个曲面中的七个曲面使用一组参数。

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