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The Noise Performance of Diffusion Tensor Image with Different Gradient Schemes  

Lee Young-Joo (Department of Medical and Biological Engineering, Graduate School, Kyungpook National University)
Chang Yongmin (Department of Medical and Biological Engineering, Graduate School, Kyungpook National University, Department of Diagnostic Radiology, College of Medicine, Kyungpook National University)
Kim Yong-Sun (Department of Diagnostic Radiology, College of Medicine, Kyungpook National University)
Publication Information
Journal of Biomedical Engineering Research / v.25, no.6, 2004 , pp. 439-445 More about this Journal
Abstract
Diffusion tensor image(DTI) exploits the random diffusional motion of water molecules. This method is useful for the characterization of the architecture of tissues. In some tissues, such as muscle or cerebral white matter, cellular arrangement shows a strongly preferred direction of water diffusion, i.e., the diffusion is anisotropic. The degree of anisotropy is often represented using diffusion anisotropy indices (relative anisotropy(RA), fractional anisotropy(FA), volume ratio(VR)). In this study, FA images were obtained using different gradient schemes(N=6, 11, 23, 35. 47). Mean values and the standard deviations of FA were then measured at several anatomic locations for each scheme. The results showed that both mean values and the standard deviations of FA were decreased as the number of gradient directions were increased. Also, the standard error of ADC measurement decreased as the number of diffusion gradient directions increased. In conclusion, different gradient schemes showed a significantly different noise performance and the schem with more gradient directions clearly improved the quality of the FA images. But considering acquisition time of image and standard deviation of FA, 23 gradient directions is clinically optimal.
Keywords
Diffusion tensor image; Anisotropy; Fractional anisotropy;
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