中国医疗设备2011，Vol.26Issue(3)：28-30,3.DOI:10.3969/j.issn.1674-1633.2011.03.010
一种肺部CT图像快速分割算法研究
A Fast Segmentation Algorithm Approach on Lung ROI
梁洪 1李金1
作者信息
- 1. 哈尔滨工程大学,自动化学院生物医学工程研究所,黑龙江,哈尔滨,150001
- 折叠
摘要
Abstract
According to the request of clinical diagnostic-assisted, a fast segmentation algorithm approach on lung ROI is proposed in this paper. Firstly, maximum between-cluster variance method is applied to pre segment the image. Secondly, the method of region growing and small area elimination is applied to get rid of disturb information and generate mask image in the meantime. Lastly, the mathematical morphology method is applied to refine the template image. And arithmetical operation is used to original image and mask image to get lung region of interest. The experimental results indicate that the algorithm in this paper has a high automation degree and accuracy segmentation.关键词
CT图像/最大类间方差/数学形态学/肺部感兴趣区域/CT肺部成像分类
信息技术与安全科学引用本文复制引用
梁洪,李金..一种肺部CT图像快速分割算法研究[J].中国医疗设备,2011,26(3):28-30,3.
