东北大学学报:自然科学版 ›› 2014, Vol. 35 ›› Issue (8): 1112-1116.DOI: 10.12068/j.issn.1005-3026.2014.08.011

• 信息与控制 • 上一篇    下一篇

基于影像数据的心室隔膜形态分析

张耀楠1,2,朱江源1,2,徐钰1,2,康雁1,2   

  1. (1 东北大学 中荷生物医学与信息工程学院, 辽宁 沈阳110819; 2 东北大学 教育部医学影像计算重点实验室, 辽宁 沈阳110819)
  • 收稿日期:2013-09-04 修回日期:2013-09-04 出版日期:2014-08-15 发布日期:2014-04-11
  • 通讯作者: 张耀楠
  • 作者简介:张耀楠(1962-),男,江苏如皋人,东北大学教授;康雁(1964-),男,辽宁沈阳人,东北大学教授,博士生导师.
  • 基金资助:
    国家自然科学基金资助项目(61372014);辽宁省自然科学基金资助项目(201202071).

Morphological Analysis of Ventricular Septum Based on Medical Images〓

ZHANG Yaonan1,2, ZHU Jiangyuan1,2, XU Yu1,2, KANG Yan1,2   

  1. 1 SinoDutch Biomedical and Information Engineering School, Northeastern University, Shenyang 110819, China; 2 Key Laboratory for Medical Image Computing, Ministry of Education, Northeastern University, Shenyang 110819, China.
  • Received:2013-09-04 Revised:2013-09-04 Online:2014-08-15 Published:2014-04-11
  • Contact: ZHANG Yaonan
  • About author:-
  • Supported by:
    -

摘要: 利用医学图像分割、形态学图像处理等算法在心脏核磁共振图像中提取心室壁骨架线、心室内膜边界.在分割提取工作的基础上,通过可以描述心室隔膜形态的关键参数自动分析心室内膜形态.提出自动计算心室隔膜骨架线曲率的算法,并针对曲率描述心室隔膜形态的不足,提出心室隔膜偏移量的概念,完善了基于影像数据评价心室隔膜形态的方法.实验结果表明:曲率、偏移量、心室内膜边界和变化量是评价心室隔膜形态的重要参数.

关键词: 心室隔膜, 图像分割, 形态分析, 右心室, 医学影像

Abstract: Ventricular wall skeleton and endocardial boundary were extracted from cardiac MRIs using medical image segmentation and morphological image processing methods. Then, the endocardial morphology was analyzed automatically by the key parameters that can describe the morphology of ventricular septum. An algorithm was proposed to automatically calculate the curvature of ventricular septum skeleton, and the concept of ventricular septum offset was presented to make up for the deficiency of describing the ventricular septum by the curvature,thus improving the imagebased evaluation method of ventricular septum morphology. Experimental results demonstrate that the curvature, offset and endocardial boundary can be used as key parameters to evaluate the shape of ventricular septum.

Key words: ventricular septum, image segmentation, morphology analysis, right ventricle, medical images

中图分类号: