Bazin Pierre-Louis, Pham Dzung L
Johns Hopkins University, Baltimore, USA.
Med Image Comput Comput Assist Interv. 2005;8(Pt 2):484-91. doi: 10.1007/11566489_60.
We present here a new method for correcting the topology of objects segmented from medical images. Whereas previous techniques alter a surface obtained from the hard segmentation of the object, our technique works directly in the image domain, propagating the topology for all isosurfaces of the object. From an analysis of topological changes and critical points in implicit surfaces, we introduce a topology progagation algorithm that enforces any desired topology using a fast marching technique. Compared to previous topology correction techniques, the method successfully corrects topology while effecting fewer changes to the original volume.
我们在此提出一种用于校正从医学图像中分割出的物体拓扑结构的新方法。以往的技术是改变从物体的硬分割得到的表面,而我们的技术直接在图像域中起作用,为物体的所有等值面传播拓扑结构。通过对隐式曲面中的拓扑变化和临界点进行分析,我们引入了一种拓扑传播算法,该算法使用快速行进技术来强制实现任何所需的拓扑结构。与以往的拓扑校正技术相比,该方法在成功校正拓扑结构的同时,对原始体积的改变较少。