中国医疗设备2018，Vol.33Issue(1)：24-28,5.DOI:10.3969/j.issn.1674-1633.2018.01.006
基于超像素方法的腹部CT影像多目标器官分割研究
Research on Multi-Target Organs' Segmentation of Abdominal CT Image Based on Super-Pixel Method
摘要
Abstract
In order to address the typical problems in the medical image, such as unclear boundaries between organs and loud imaging noises, we proposed a method of automatic segmentation to get the target organs' images from abdominal medical images by building super-pixels. The super-pixel based segmental method adapted to various imaging conditions in the CT image and considered the interrelationship and constraints among multiple organs. In this method, we firstly clustered the super-pixels in the light of pixel correlation and location adjacency, then the spatial distribution of organs was used to modify the segmentation process of multiple organs. The experimental results showed that this proposed method could effectively segment the organs in the abdominal CT images compared with some other traditional segmental algorithms.关键词
腹部医学影像/超像素/多目标分割/CTKey words
abdominal medical image/super-pixels/multiple target segmentation/CT分类
医药卫生引用本文复制引用
张海涛,刘景鑫,王春月,赵晓晴,李慧盈..基于超像素方法的腹部CT影像多目标器官分割研究[J].中国医疗设备,2018,33(1):24-28,5.基金项目
国家重点研发计划(2016YFC0103500) （2016YFC0103500）
吉林省省校共建目(SXGJXX2017-5) （SXGJXX2017-5）
吉林大学高层次科技创新团队建设项目(2017TD-27). （2017TD-27）
