Vidholm Erik, Nilsson Sven, Nyström Ingela
Centre for Image Analysis, Uppsala University, Sweden.
Med Image Comput Comput Assist Interv. 2006;9(Pt 2):774-81. doi: 10.1007/11866763_95.
We present a method for semi-automatic segmentation of the liver from CT scans. True 3D interaction with haptic feedback is used to facilitate initialization, i.e., seeding of a fast marching algorithm. Four users initialized 52 datasets and the mean interaction time was 40 seconds. The segmentation accuracy was verified by a radiologist. Volume measurements and segmentation precision show that the method has a high reproducibility.
我们提出了一种从CT扫描中半自动分割肝脏的方法。使用具有触觉反馈的真三维交互来促进初始化，即快速行进算法的种子设定。四名用户对52个数据集进行了初始化，平均交互时间为40秒。分割精度由一名放射科医生进行了验证。体积测量和分割精度表明该方法具有很高的可重复性。
