Effects of b-Value and Echo Time on Magnetic Resonance Diffusion Tensor Imaging-Derived Parameters at 1.5 T: A Voxel-Wise Study

被引:15
作者
Chou, Ming-Chung [1 ]
Kao, E-Fong [1 ]
Mori, Susumu [2 ]
机构
[1] Kaohsiung Med Univ, Dept Med Imaging & Radiol Sci, Kaohsiung 807, Taiwan
[2] Johns Hopkins Univ, Sch Med, Russell H Morgan Dept Radiol & Radiol Sci, Baltimore, MD 21205 USA
关键词
Diffusion weighting factor (b-value); Echo time (TE); diffusion tensor imaging (DTI); Axial diffusivity (AD); Radial diffusivity (RD); Mean diffusivity (MD); Fractional anisotropy (FA); Principal eigenvector (PEV); Reproducibility; Accuracy; HUMAN WHITE-MATTER; WATER DIFFUSION; HUMAN BRAIN; IN-VIVO; MRI; ORIENTATION; ANISOTROPY; TISSUES;
D O I
10.5405/jmbe.1126
中图分类号
R318 [生物医学工程];
学科分类号
0831 ;
摘要
The diffusion weighting factor (b-value) and echo time (TE) are two important parameters that influence quantitative measurements of diffusion tensor imaging (DTI). The present study employs a voxel-wise post-processing scheme to investigate the effects of b-value and TE on the reproducibility and accuracy of DTI-derived indices based on actual human brain data with commonly used imaging parameters. Five repeated DTI datasets of six b-values and five TE values were acquired from a healthy subject. The reproducibility and accuracy of axial diffusivity (AD), radial diffusivity (RD), mean diffusivity (MD), fractional anisotropy (FA), and the principal eigenvector (PEV) are assessed by calculating the voxel-wise standard deviation, coefficient of variance, and difference of mean values from the reference DTI dataset acquired with number of excitations (NEX) = 15. The results show that the reproducibility and accuracy of AD, RD, MD, FA, and PEV are significantly impacted by b-value and TE, and that there is a significant difference between gray and white matter tissues. Therefore, the reproducibility and accuracy of DTI-derived indices depends on the b-value and TE for both gray and white matter.
引用
收藏
页码:45 / 50
页数:6
相关论文
共 20 条
[1]   Optimal imaging parameters for fiber-orientation estimation in diffusion MRI [J].
Alexander, DC ;
Barker, GJ .
NEUROIMAGE, 2005, 27 (02) :357-367
[2]   MR DIFFUSION TENSOR SPECTROSCOPY AND IMAGING [J].
BASSER, PJ ;
MATTIELLO, J ;
LEBIHAN, D .
BIOPHYSICAL JOURNAL, 1994, 66 (01) :259-267
[3]   High b-value diffusion-weighted MRI of normal brain [J].
Burdette, JH ;
Durden, DD ;
Elster, AD ;
Yen, YF .
JOURNAL OF COMPUTER ASSISTED TOMOGRAPHY, 2001, 25 (04) :515-519
[4]   ANISOTROPIC DIFFUSION IN HUMAN WHITE MATTER - DEMONSTRATION WITH MR TECHNIQUES INVIVO [J].
CHENEVERT, TL ;
BRUNBERG, JA ;
PIPE, JG .
RADIOLOGY, 1990, 177 (02) :401-405
[5]   Principles and Limitations of Computational Algorithms in Clinical Diffusion Tensor MR Tractography [J].
Chung, H. -W. ;
Chou, M. -C. ;
Chen, C. -Y. .
AMERICAN JOURNAL OF NEURORADIOLOGY, 2011, 32 (01) :3-13
[6]   Effects of signal-to-noise ratio on the accuracy and reproducibility, of diffusion tensor imaging-derived fractional anisotropy, mean diffusivity, and principal eigenvector measurements at 1.5T [J].
Farrell, Jonathan A. D. ;
Landman, Bennett A. ;
Jones, Craig K. ;
Smith, Seth A. ;
Prince, Jerry L. ;
van Zijl, Peter C. M. ;
Mori, Susumu .
JOURNAL OF MAGNETIC RESONANCE IMAGING, 2007, 26 (03) :756-767
[7]   B-value dependence of DTI quantitation and sensitivity in detecting neural tissue changes [J].
Hui, Edward S. ;
Cheung, Matthew M. ;
Chan, Kevin C. ;
Wu, Ed X. .
NEUROIMAGE, 2010, 49 (03) :2366-2374
[8]   A global optimisation method for robust affine registration of brain images [J].
Jenkinson, M ;
Smith, S .
MEDICAL IMAGE ANALYSIS, 2001, 5 (02) :143-156
[9]  
Landman B. A., 2006, P INT SOC MAG RESON, V14, P2987
[10]   Biexponential diffusion tensor analysis of human brain diffusion data [J].
Maier, SE ;
Vajapeyam, S ;
Mamata, H ;
Westin, CF ;
Jolesz, FA ;
Mulkern, RV .
MAGNETIC RESONANCE IN MEDICINE, 2004, 51 (02) :321-330