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. 2006 Sep;27(8):1776-81.

Effects of number of diffusion gradient directions on derived diffusion tensor imaging indices in human brain

Affiliations

Effects of number of diffusion gradient directions on derived diffusion tensor imaging indices in human brain

H Ni et al. AJNR Am J Neuroradiol. 2006 Sep.

Abstract

Background and purpose: The effects of a number of diffusion-encoding gradient directions (NDGD) on diffusion tensor imaging (DTI) indices have been studied previously with theoretic analysis and numeric simulations. In this study, we made in vivo measurements in the human brain to compare different clinical scan protocols and to evaluate their effects on the calculated DTI indices.

Methods: Fifteen healthy volunteers were scanned with a 1.5T MR scanner. Single-shot DTI images were acquired using 3 protocols different in NDGD and number of excitations (NEX) for each direction (NDGD/NEX = 6/10, 21/3, 31/2). Means and standard error of mean (SEM) were calculated and compared in 6 regions of interest (ROIs) for mean diffusivity (D), fractional anisotropy (FA), diffusion tensor eigenvalues (lambda(1), lambda(2), and lambda(3)), and correlation coefficients (r) of these indices among the 3 DTI protocols.

Results: At the ROI level, no significant differences were found for the mean and SEM of D and FA among protocols (P > .05). The 6-NDGD protocol, however, yielded higher values for lambda(1) and lambda(2) and lower values for lambda(3) in most ROIs (P < .05) compared with the other protocols. At the voxel level, the correlation between the protocols r(21-31) were higher than r(6-21) and r(6-31) in most ROIs. The correlation of FA among 3 protocols also increased with increasing anisotropy.

Conclusion: For ROI analyses, different NDGDs lead to similar values of FA and D but different eigenvalues. However, different NDGDs at the voxel level provide varying values. The selection of the NDGD, therefore, should depend on the focus of different DTI applications.

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Figures

Fig 1.
Fig 1.
A, An example of coregistration across 3 protocols. Images on the left, middle, and right are obtained with the 6-NDGD, 21-NDGD, and 31-NDGD protocols, respectively. A region of interest (ROI) of the splenium of CC is initially drawn on only 1 image from 1 of the 3 protocols and then translated to the corresponding images from the other 2 protocols. B, Spatial definition of ROIs: all ROIs are positioned relative to CC in the anterior (A, CCA), middle [B, CCM, cingulum (D), SLF (E), and IC (F)], and posterior [C, CCP, cingulum (D), and SLF (E)] locations.
Fig 2.
Fig 2.
Mean value in 6 ROIs for the 3 protocols; A for FA, B for 〈D〉, C for λ1, D for λ2, and E for λ3. 〈D〉, λ1, λ2, and λ3 are measured in 10−3 mm2/s. White bars for 6-NDGD, gray bars for 21-NDGD, and black bars for 31-NDGD protocols. *, P < .05. Error bars are for 1 SEM.
Fig 3.
Fig 3.
Correlation coefficient (r) in 6 ROIs between 2 of the 3 protocols. A for FA, B for 〈D〉, C for λ1, D for λ2, and E for λ3. White bars are for r6–21, gray bars for r6–31, and black bars for r21–31. *, P < .05. Error bars are for 1 SEM.
Fig 4.
Fig 4.
The linear fitting between correlation coefficient of FA versus FA value of different ROIs.

References

    1. Chepuri NB, Yen YF, Burdette JH, et al. Diffusion anisotropy in the corpus callosum. AJNR Am J Neuroradiol 2002;23:803–08 - PMC - PubMed
    1. Takahashi S, Yonezawa H, Takahashi J, et al. Selective reduction of diffusion anisotropy in white matter of Alzheimer disease brains measured by 3.0 Tesla magnetic resonance imaging. Neurosci Lett 2002;332:45–48 - PubMed
    1. Fellgiebel A, Wille P, Muller MJ, et al. Ultrastructural hippocampal and white matter alterations in mild cognitive impairment: a diffusion tensor imaging study. Dement Geriatr Cogn Disord 2004;18:101–08 - PubMed
    1. Zhong J, Ni H, Zhu T, et al. MR diffusion tensor imaging (DTI) and neuropsychological testing for neuronal connectivity in Alzheimer’s disease (AD) patients. Proceedings of SPIE: Medical Imaging 2004—Physiology, Function, and Structure from Medical Images 2004;5369:238–49
    1. Coombs BD, Best A, Brown MS, et al. Multiple sclerosis pathology in the normal and abnormal appearing white matter of the corpus callosum by diffusion tensor imaging. Mult Scler 2004;10:392–97 - PubMed

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