基于MR图像的人脑尾状核定量分析方法研究  

Caudate Nucleus Volume Analysis of Human Brain Based on MR Images

作　　者：芦勤[1] 罗述谦[1] 

机构地区：[1]首都医科大学生物医学工程学院,北京100069

出　　处：《北京生物医学工程》2010年第2期120-124,共5页Beijing Biomedical Engineering

基　　金：国家自然科学基金(30270401)资助

摘　　要：大脑结构的研究对于脑相关疾病及脑功能研究具有重要意义,随着计算机视觉和数学领域相关知识的引入,研究热点集中到感兴趣区的形状建模及形状量化分析上。尾状核作为人脑中的重要结构,对大脑活动,特别是认知方面,起着至关重要的作用。本文对MR图像进行分割,并对尾状核的绝对体积以及归一化体积进行了定量测量与分析。同时通过细化算法给出尾状核的骨架模型,得到了初步的尾状核形状描述,并应用移动立方体算法对尾状核进行三维重建,得到了较理想的尾状核可视化结果。The research of brain structure plays a significant role for the study of brain-related diseases and brain function. With the introduction of computer vision and mathematics methods, the surface modeling and shape analysis attach more attention. The caudate nucleus is a critical structure in human brain, especially in its cognitive correlates in brain activities. In this paper, we develop a semi-automatic segmentation method for tracing the caudate nucleus in MRI for absolute volume as well as the normalized volume, and the skeleton model is given using thinning algorithm. Finally, marching cube algorithm is used to establish a satisfying three-dimensional reconstruction.

关 键 词：尾状核 体积测量 提取骨架 三维重建 

分 类 号：R318.04[医药卫生—生物医学工程]