颌骨重建中的图像分割和轮廓对应及分支问题
Image Segmentation and Contour Correspondence and Branching Problem in Human Mandible Reconstruction
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摘要: 根据人体颌骨的形状特征,提出一系列有针对性的方法,在CT断层数据的基础上重建三维表面模型.研究的内容包括医学图像的分割和从轮廓线重建表面两个方面.首先,采用一种称为"非种子区域分割"方法提取物体的轮廓线;然后,建立一条反应颌骨走向的弓形"参照基准线",充分利用轮廓线相对于它的"归一化位置"信息解决表面重建中的对应和分支问题;同时考虑相邻层的影响,使生成的表面更加光滑、自然.最后,提出"多阶凸包点对应匹配"的思想,用分层分段迭代的方法拼接三角面片.Abstract: This paper presents a series of new methods for human mandible reconstruction,based on the characteristics of CT data.Our work involves medical image segmentation and surface reconstruction algorithms.Firstly,a new segmentation method namely “no-seed region segmentation” is employed to extract the planar contours. Then,a bow “reference curve” is created to show the shape trend of mandible.The “normalized position” of the contours on the curve is used to solve the correspondence and branching problem in surface reconstruction.And influence from previous layer is considered to help fully produce smooth surface.Finally,tiling is implemented by “mating points at mult-i order convex hulls”,and the iteration is done for several steps.
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