J4 ›› 2015, Vol. 42 ›› Issue (2): 157-161.doi: 10.3969/j.issn.1001-2400.2015.02.026

• 研究论文 • 上一篇    下一篇

虚拟结肠镜的计算机辅助诊断技术

张国鹏;廖琪梅;焦纯;李宝娟;刘洋;卢虹冰   

  1. (第四军医大学 生物医学工程学院,陕西 西安 710032)
  • 收稿日期:2013-12-18 出版日期:2015-04-20 发布日期:2015-04-14
  • 通讯作者: 卢虹冰
  • 作者简介:张国鹏(1975-),男,博士,E-mail: zhanggp@fmmu.edu.cn.
  • 基金资助:
    国家自然科学基金资助项目(81071220,81230035);陕西省科技攻关资助项目(2013K12-20-02)

Study of computer aided diagnosis technology in virtual colonoscopy

ZHANG Guopeng;LIAO Qimei;JIAO Chun;LI Baojuan;LIU Yang;LU Hongbing   

  1. (School of Biomedical Medical Engineering, Fourth Military Medical Univ., Xi'an 710032, China)
  • Received:2013-12-18 Online:2015-04-20 Published:2015-04-14
  • Contact: LU Hongbing

摘要: 为了探索在虚拟结肠镜系统中利用三维纹理特征实现病灶的计算机辅助诊断的可行性,对手工勾勒的190个病灶的体数据进行三维纹理分析,从每个病灶提取了39个三维纹理形成一个特征向量.所有的病灶根据病理分析结果被分成增生性息肉、管状腺瘤、管状绒毛腺瘤和腺癌.用Hotelling T-square 检验对特征向量进行显著性分析显示:除了增生型息肉和管状腺瘤两组间无显著性差异,其余组两两之间均呈现显著性差异.结果提示在虚拟结肠镜中用三维纹理特征对病灶进行分类,具有实现计算机辅助诊断的可能性.

关键词: 虚拟结肠镜, 计算机辅助诊断, 三维纹理分析

Abstract: To explore the feasibility of computer aided diagnosis in virtual colonoscopy by means of 3D texture analysis, 190 lesion data volumes are manually extracted and 39 texture features are computed from each lesion to form a feature vector. All polyps are grouped into four pathological types of hyperplastic (H), tubular adenoma (Ta), tubulovillous adenoma (Va), and adenocarcinoma (A). The Hotelling T-square test on all the feature vectors shows that significant differences are found between all the paired groups except the H/Ta group. This result indicates the possibility of computer aided diagnosis in virtual colonoscopy when the proposed 3D textural features are used in the classification of four different types of lesions.

Key words: virtual colonoscopy, computer aided diagnosis, three dimension texture analysis

中图分类号: 

  • R318