用于检测3D血管图像的分叉点的一个程序，文件夹内还有说明文档，详细介绍了该程序的算法。是用itk库做的一个通用模板类，还有例子。-　　Branches　of　tubular　structures　(vasculature,　trachea,　neuron,　etc.)　in medical　images　are　critical　for　the　topology　of　these

structures.　In many　applications,　It　is　very　helpful　to　be　able　to　decompose　tubular　structures　and　identify　every　individual

branch. For example, quantification of geometric vascular features, registration of trachea movement due to respiration, tracing of

neuron path. However, manual decomposition can be　tedious,　time-consuming, and　subject　to operator bias.　In　this paper, we

propose a novel method to decompose tubular structures automatically and describe how to implement it in ITK framework. The

input　is a 2D/3D binary　image　that can be obtained　from any segmentation　techniques, as well as　the　junctions, which can be

generated automatically from our previously contributed ITK class: itk::JunctionDetectionFilter. The output will be

branches with their labels and their connection. There are only tw