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基于增强CT图像的肝脏血管 三维分割方法研究

张睿 吴水才 周著黄 王月 吴薇薇

中国医疗设备2017,Vol.32Issue(11):48-54,7.
中国医疗设备2017,Vol.32Issue(11):48-54,7.DOI:10.3969/j.issn.1674-1633.2017.11.013

基于增强CT图像的肝脏血管 三维分割方法研究

3D Hepatic Vascular Segmentation on Contrast-Enhanced CT Images

张睿 1吴水才 1周著黄 1王月 1吴薇薇2

作者信息

  • 1. 北京工业大学 生命科学与生物工程学院,北京 100124
  • 2. 北京工业大学信息学部,北京 100124
  • 折叠

摘要

Abstract

Objective To investigate a set of state-of-the-art vessel enhancement algorithms and propose an automatic 3D hepatic vascular segmentation strategy by combining the vessel enhancement and the threshold level set segmentation algorithms.Methods Firstly, the sigmoid filter was conducted to the original 3D contrast-enhanced CT images. Then, different vessel enhancement algorithms were analyzed and compared on the filtered images. Finally, the liver vessel was segmented by combining the threshold level set segmentation method with the optimal vessel enhancement algorithm. Two groups of vessel enhancement algorithms were quantitatively assessed: vesselness filters and diffusion filters. Experimental data involved 20 cases of abdominal contrast-enhanced CT in the 3Dircadb public data sets.Results Experimental Results showed that the vesselness filters were more effective than the diffusion filters. The contrast-to-noise ratio of the vesselness filters was higher than that of the diffusion filters by 2 dB. Thus, the diffusion filters yielded higher computational complexity and lower accuracy. The segmentation accuracy of the proposed method was over 77%, which was higher than that of traditional segmentation algorithms including region growing, shape detection level set and geodesic active contours.Conclusion Compared with the diffusion filters, the vesselness filters are more suitable for grey level based on 3D hepatic vascular segmentation. The threshold level set method could alleviate the under-segmentation problem when using only one threshold or vessel boundaries, and could segment hepatic vessels more accurately with the combination of vessel enhancement algorithms.

关键词

肝血管分割/血管增强/扩散滤波/血管特征提取/阈值水平集分割

Key words

hepatic vessel segmentation/vessel enhancement/diffusion filter/vesselness filter/threshold level set

分类

信息技术与安全科学

引用本文复制引用

张睿,吴水才,周著黄,王月,吴薇薇..基于增强CT图像的肝脏血管 三维分割方法研究[J].中国医疗设备,2017,32(11):48-54,7.

基金项目

国家自然科学基金项目(71661167001) (71661167001)

北京市属高校青年拔尖人才培养计划项目(CIT & TCD201404053) (CIT & TCD201404053)

中国博士后科学基金项目( 2017M620566). ( 2017M620566)

中国医疗设备

OACSTPCD

1674-1633

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