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Abstract #1604

Effects of Turboprop Diffusion Tensor Imaging Acquisition Parameters on the Noise of Fractional Anisotropy

Ashish A. Tamhane1, Konstantinos Arfanakis1

1Department of Biomedical Engineering, Illinois Institute of Technology, Chicago, IL, United States

The goal of this study was to investigate the effect of the number of blades, echo-train length (ETL), turbo-factor, and number of diffusion directions on the noise of fractional anisotropy (FA) in Turboprop diffusion tensor imaging (DTI). It was shown that the range of FA standard deviation (stdFA) values for different tensor orientations was lower when more diffusion directions were used. Additionally, stdFA decreased for an increasing number of blades, lower ETL, and lower turbo-factor. Hence, in Turboprop-DTI, optimal FA noise characteristics can be achieved by increasing the number of diffusion directions and blades, and decreasing the ETL and turbo-factor.