数据采集与处理Issue(2)：350-358,9.DOI:10.16337/j.1004-9037.2015.02.013
一种基于水平集的三维肝脏磁共振图像混合分割方法
Hybrid Segmentation for 3D Liver Magnetic Resonance Imaging Based on Level Set Method
摘要
Abstract
Aiming at the complicated internal structure of abdomen and the mutual infiltration between or-ganizations,an improvement of level set method is used to extract the 3D abdomen magnetic resonance image segmentation of liver area.Level set method is easy to leak in weak edges.Therefore,this prob-lem is solved by preprocessing threshold segmentation.Certain interference in further processing is re-duced and the edges is more clear through remapping the intensity of pre-segmentation results,and then the improved level set method is used for further segmentation.Experiments proves that the method is superior to traditional level set methods.The leaking problem of weak edges is reduced,and the desired segmentation result is obtained.The applicability of level set is expended.关键词
三维 MR 图像/阈值分割/水平集/肝脏Key words
3D magnetic resonance image/threshold segmentation/level set/liver分类
信息技术与安全科学引用本文复制引用
吕晓琪,石静,任晓颖,张传亭..一种基于水平集的三维肝脏磁共振图像混合分割方法[J].数据采集与处理,2015,(2):350-358,9.基金项目
国家自然科学基金(61179019)资助项目 （61179019）
内蒙古自然科学基金面上项目(2013MS0908)资助项目。 （2013MS0908）
