东北大学学报（自然科学版）

东北大学学报(自然科学版) ›› 2010, Vol. 31 ›› Issue (2): 165-167+171.DOI: -

• 论著 • 上一篇    下一篇

基于β估计校正值的低场功能磁共振成像分析方法

杨萍;何砚发;王金星;于兵;   

  1. 东北大学理学院;中国医科大学附属盛京医院;
  • 收稿日期:2013-06-20 修回日期:2013-06-20 出版日期:2010-02-15 发布日期:2013-06-20
  • 通讯作者: -
  • 作者简介:-
  • 基金资助:
    国家自然科学基金资助项目(50877008)

An analysis method based on correction of estimated value of β for fMRI at low field

Yang, Ping (1); He, Yan-Fa (1); Wang, Jin-Xing (1); Yu, Bing (2)   

  1. (1) School of Sciences, Northeastern University, Shenyang 110004, China; (2) Shengjing Hospital of China Medical University, Shenyang 110004, China
  • Received:2013-06-20 Revised:2013-06-20 Online:2010-02-15 Published:2013-06-20
  • Contact: Yang, P.
  • About author:-
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摘要： 针对低场功能磁共振成像(fMRI)非脑组织信号变化的影响,提出一种有效的图像分析方法以改进大脑功能定位的结果.综合利用基于形变模型的图像分割算法和基于像素形态测量学(voxel-basedmorphometry,VBM)的统计分析方法提取脑组织,生成显式掩模,并构建分析掩模图像以修正一般线性模型的β参数估计值,使得VBM的统计推断只针对大脑组织,消除了非脑组织信号变化的影响.应用实例表明,这种方法可有效去除背景、头骨及头皮信号变化引起的伪激活区,提高了低场fMRI分析的可靠性和准确性.

关键词: 功能磁共振成像(fMRI), 显式掩模, 基于像素的形态测量学(VBM), 脑提取, 低场

Abstract: Proposes an effective analysis method to decrease the interference effect of non-brain signals on the functional magnetic resonance imaging (fMRI) at low field, by which the activated area of the brain can be located precisely. The method combines the image segment method based on a deformable surface model with the voxel-based morphometry (VBM). The extracted brain tissue is taken as an explicit mask. Then, an analysis mask is constructed to correct the estimated value of the parameter β in general linear model (GLM), thus making the statistical inference just available to the brain tissue. The practical application revealed that the method proposed can effectively eliminate the pseudo-activated area generated by the changes of the signals from background, skull and scalp and improve the reliability and precision of fMRI at low field.

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