de Bruin P W, Dercksen V J, Post F H, Vossepoel A M, Streekstra G J, Vos F M
Computer Graphics Group, Delft University of Technology, Room 12250, Mekelweg 4, Delft 2628, Netherlands.
Comput Biol Med. 2005 May;35(4):329-46. doi: 10.1016/j.compbiomed.2004.02.006.
This paper describes a new method for interactive segmentation that is based on cross-sectional design and 3D modelling. The method represents a 3D model by a set of connected contours that are planar and orthogonal. Planar contours overlayed on image data are easily manipulated and linked contours reduce the amount of user interaction.1 This method solves the contour-to-contour correspondence problem and can capture extrema of objects in a more flexible way than manual segmentation of a stack of 2D images. The resulting 3D model is guaranteed to be free of geometric and topological errors. We show that manual segmentation using connected orthogonal contours has great advantages over conventional manual segmentation. Furthermore, the method provides effective feedback and control for creating an initial model for, and control and steering of, (semi-)automatic segmentation methods.
本文描述了一种基于横截面设计和三维建模的交互式分割新方法。该方法通过一组平面且正交的相连轮廓来表示三维模型。叠加在图像数据上的平面轮廓易于操作，相连的轮廓减少了用户交互量。这种方法解决了轮廓到轮廓的对应问题，并且与手动分割二维图像堆栈相比，能够以更灵活的方式捕捉物体的极值。所得的三维模型保证没有几何和拓扑错误。我们表明，使用相连正交轮廓的手动分割比传统的手动分割具有很大优势。此外，该方法为创建（半）自动分割方法的初始模型以及对其进行控制和引导提供了有效的反馈和控制。
