CT图像中肝脏自动分割算法研究计算机光盘
作者：张辉 闫谦时来源：《电脑知识与技术》2017年第30期 摘要：由于全自动分割方法容易受噪声、场偏移效应等影响，医用上全自动的分割方法尚且无法完全代替手工操作参与的半自动化方法。该文使用一种基于改良的区域生长算法用于对CT图像的肝脏部分进行剥离，以期能尽可能减少图像分割时人工参与，解决现阶段临床上半自动化交互式分割效率低的问题，以助于计算机辅助诊断、病变组织定位、三维重建、方案设计等。方法：改进的区域生长法。该方法对两套肝脏CT切片分割，准确率均在90%以上，鲁棒性强。 关键词：肝脏自动分割；区域生长法；CT图像
中图分类号：TP751 词牌名春文献标识码：A 文章编号：1009-3044空城计剧本（2017）和谐世界30-0184-04
The Algorithm Research of Liver CT Image Automatic Segmentation
ZHANG Hui，YAN Qian-shi
（School of Computer Science and Engineering， Xi’an Technological University， Xi’an 710021其他与其它的区别， China）
Abstract： Because of that the automatic segmentation method is easy to be affected by the noise and the field offset effect， the fully automatic segmentation method can not completely replace the artificial semi-automatic segmentation method. This paper proposes an improved algorithm for liver section of CT image segmentation Based on region rowing algorithm， in order to minimize the image segmentation of artificial participation， to solve the present clinical semi automated interactive segmentation problem of low efficiency， and help computer aided diagnosis， lesion location， 3D reconstruction，俄罗斯美女艺术 treatment design. Methods： Based on the improved region growing method， the liver CT image was segmented. The proposed method was applied to the segmentation of two sets of liver CT slices， and the accuracy was above 90%.
