首页 | 本学科首页   官方微博 | 高级检索  
检索        

弥散梯度方向数目对DTI测量值的影响
引用本文:阴晓娟,张娜,邓振生.弥散梯度方向数目对DTI测量值的影响[J].中国医学影像技术,2010,26(3):567-570.
作者姓名:阴晓娟  张娜  邓振生
作者单位:1. 中南大学信息物理工程学院生物医学工程研究所,湖南,长沙,410083
2. 中南大学信息物理工程学院生物医学工程研究所,湖南,长沙,410083;中国科学院深圳先进技术研究院生物医学与健康工程研究所,广东,深圳,518055
摘    要:目的 探讨弥散张量成像(DTI)中不同数目的梯度方向对成人脑组织各向异性分数(FA)的离散程度及其信噪比(SNR)的影响.方法 应用7种不同弥散梯度方向数目(NDGD)对8名健康志愿者脑组织进行DTI扫描并获取FA图,计算FA图中4个感兴趣区(ROI)(胼胝体膝部、胼胝体压部、内囊膝部、内囊后肢)的FA值及其SNR,分析其随NDGD增加的变化趋势.结果 脑内各个ROI的FA值不随NDGD的增加而显著变化;信号强的ROI(胼胝体膝部、胼胝体压部)内FA值方差随机波动,其SNR增加不大;信号弱的ROI(内囊膝部、内囊后肢)内FA值方差随着NDGD的增加而逐渐减小.结论 在DTI的临床应用中,要根据检查的部位选择最适宜的NDGD.

关 键 词:弥散张量成像  弥散梯度方向数目  各向异性分数  信噪比
修稿时间:2009/11/15 0:00:00

Impact of the number of diffusion gradient directions on measuring values in diffusion tensor imaging
YIN Xiao-juan,ZHANG Na and DENG Zhen-sheng.Impact of the number of diffusion gradient directions on measuring values in diffusion tensor imaging[J].Chinese Journal of Medical Imaging Technology,2010,26(3):567-570.
Authors:YIN Xiao-juan  ZHANG Na and DENG Zhen-sheng
Institution:Institute of Biomedical Engineering, School of Info-physics and Geomatics Engineering, Central South University, Changsha 410083, China;Institute of Biomedical Engineering, School of Info-physics and Geomatics Engineering, Central South University, Changsha 410083, China;Institute of Biomedical and Health Engineering, Shenzhen Institute of Advanced Technology, Chinese Academy of Science,;Institute of Biomedical Engineering, School of Info-physics and Geomatics Engineering, Central South University, Changsha 410083, China
Abstract:Objective To assess the impact of different number of diffusion gradient directions (NDGD) of diffusion tensor imaging (DTI) on dispersion degree of fractional anisotropy (FA) values and signal-to-noise ratio (SNR) for adult brain tissues. Methods Eight healthy volunteers underwent DTI with 7 NDGD respectively, and the associated FA maps were obtained. Four region of interest (ROI) (genu and splenial of corpus callosum, genu and posterior limb of internal capsule) were chosen in white matter of FA maps, FA values and the corresponding SNRs of the ROIs were computed and analyzed with NDGD increasing. Results FA values within all ROIs did not change remarkably with NDGD increasing. Variance of FA value within two ROIs with high gray value (genu and splenial of corpus callosum) fluctuated randomly and SNR increased slightly, while variance of FA value within the ROIs with low gray value (genu and posterior limb of internal capsule) diminished significantly with NDGD increasing. Conclusion In clinical applications of DTI, an optimum NDGD for DTI data acquisition should be selected according to the ROIs in human brain to be inspected.
Keywords:Diffusion tensor imaging  Number of diffusion gradient girections  Fractional anisotropy  Signal noise ratio
本文献已被 万方数据 等数据库收录!
点击此处可从《中国医学影像技术》浏览原始摘要信息
点击此处可从《中国医学影像技术》下载免费的PDF全文
设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司  京ICP备09084417号