J Korean Radiol Soc.  2007 Oct;57(4):315-322. 10.3348/jkrs.2007.57.4.315.

The Effect of Imaging Parameters of Diffusion Tensor Imaging on Fractional Anisotropy

Affiliations
  • 1Deparment of Radiology, Dae Jeon, St. Mary's Hospital, College of Medicine, The Catholic University of Korea, Korea. rad_1970@yahoo.co.kr
  • 2Department of Radiology, Asan Medical Center, University of Ulsan College of Medicine, Korea.
  • 3Deparment of Neurology, Dae Jeon, St. Mary's Hospital, College of Medicine, The Catholic University of Korea, Korea.

Abstract

PURPOSE
To evaluate the effect of changes of parameters of diffusion tensor imaging (DTI), including slice thickness/slice number, b-value and the direction number of a diffusion gradient on fractional anisotropy (FA).
MATERIALS AND METHODS
Three groups of normal volunteers underwent brain diffusion tensor imaging with the use of three different imaging parameters as follows: a different slice thickness/slice number (6 mm/20 slices and 2.33 mm/54 slices), a different b-value (800 s/mm2/1000 s/mm2) and a different number of directions of the diffusion gradient (6 and 15 directions). The signal to noise ratio (SNR) and FA were measured by a ROI measurement at the anterior corona radiata, superior corona radiata, putamen and corpus callosum. We compared the mean SNR and FA in each group by the use of the paired T-test.
RESULTS
The SNR decreased and the FA increased significantly according to the increase of the slice number (6 mm/20 slices vs. 2.33 mm/54 slices). The SNR of DTI with 15 diffusion gradient directions was significantly higher than DTI with six directions, without a difference of FA. There were no significant changes of the SNR and FA of DTI according to the b-value.
CONCLUSION
It is essential and useful in the clinical application of DTI to understand the effect of imaging parameters on FA.

Keyword

Brain; Diffusion; Magnetic resonance (MR); Anisotropy

MeSH Terms

Anisotropy*
Brain
Corpus Callosum
Diffusion Tensor Imaging*
Diffusion*
Healthy Volunteers
Putamen
Signal-To-Noise Ratio
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