基于脑平面轮廓的有限元网格自动生成：一种图像驱动的Blobby方法
Automatic finite elements mesh generation from planar contours of the brain: an image driven 'blobby' approach
摘要：
在本文中，我们解决的问题，自动网格生成的解剖器官的体积数据集的有限元建模。在第一步骤中，在体积内手动或自动地定义器官的一组特征轮廓。轮廓定义了“关键帧”，将指导表面重建的过程。然后，基于该信息，与从体数据提取的器官表面曲率信息一起，生成3D标量场。该场允许器官的3D重建：作为等值面模型，使用行进立方体算法;或作为3D网格，使用网格“浸入”技术，场值被用作外部/内部测试。最终的重建考虑了器官内部发生的各种拓扑变化，例如孔和分支元素。
英文摘要：
In this paper, we address the problem of automatic mesh generation for finite elements modeling of anatomical organs for which a volumetric data set is available. In the first step a set of characteristic outlines of the organ is defined manually or automatically within the volume. The outlines define the "key frames" that will guide the procedure of surface reconstruction. Then, based on this information, and along with organ surface curvature information extracted from the volume data, a 3D scalar field is generated. This field allows a 3D reconstruction of the organ: as an iso-surface model, using a marching cubes algorithm; or as a 3D mesh, using a grid "immersion" technique, the field value being used as the outside/inside test. The final reconstruction respects the various topological changes that occur within the organ, such as holes and branching elements.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
