基于分水岭算法的交互式三维分割方法

背景：在临床中准确对人体组织进行三维分割能提高临床诊断的准确性,但传统的分水岭算法存在过度分割问题,难以实现人体组织的三维分割。目的：为准确三维分割人体组织,减少图像中伪极小值点对图像分割的影响,提出了一种基于控制标记符分水岭的交互式三维分割方法。方法：提取CT序列图像的内部和外部标记符,以此修正梯度图像并进行分割;在此基础上,根据序列图像上下层的相似性,利用人机交互进行组织结构的三维分割。首先在第一张序列图像上手工选取感兴趣区域上的一个点,借助同一组织在连续CT序列图像上面积的重叠关系即可从三维序列图上提取出感兴趣区域。结果与结论：基于控制标记符的分水岭算法解决了直接应用梯度图像进行分割的过度分割问题,便于进一步分割图像。利用基于分水岭算法的交互式三维分割方法得到的三维分割结果经过三维可视化后可清晰、准确地反映组织的三维特征。

Interactive three-dimensional segmentation based on watershed algorithm

BACKGROUND：The accurate three-dimensional（3D） segmentation of human tissue can improve the accuracy of clinical diagnosis,the traditional gradient watershed segmentation has the over-segmentation problem which makes the 3D segmentation of human tissue hard to implement.OBJECTIVE：In order to segment human tissue＇s 3D structure and reduce the influence of the pseudo-minima points on image segmentation,to propose an interactive 3D segmentation method based on marker-controlled watershed algorithm.METHODS：The internal and external markers of CT sequence images were extracted,then the gradient images were modified to segment the images.According to the similarity of neighbouring slices,we segmented the 3D structure of human tissue using human-computer interactive method.We first selected a point from the interested area in the first slice.Then we could extract the interested area from the 3D slices by using the overlap relationship of tissues on continuous CT slices.RESULTS AND CONCLUSION：The marker-controlled watershed algorithm solves the over-segmentation problem which segmenting the original gradient images meets.The proposed method makes it possible to make the further segmentation.The results suggest that,the segmented result using interactive 3D segmentation based on watershed algorithm can clearly and accurately shows the 3D features of the tissue.