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Abstract #2914

Diffusion-Tensor-based Method for Robust and Accurate Estimation of Axial and Radial Diffusional Kurtosis

Yasuhiko Tachibana 1,2 , Takayuki Obata 1 , Hiroki Tsuchiya 1 , Tokuhiko Omatsu 1 , Riwa Kishimoto 1 , Koji Kamagata 3 , Masaaki Hori 3 , Shigeki Aoki 3 , and Tomio Inoue 2

1 Research Center of Charged Particle Therapy, National Institute of Radiological Sciences, Chiba, Chiba, Japan, 2 Department of Radiology, Yokohama City University, Yokohama, Kanagawa, Japan, 3 Department of Radiology, Juntendo University, Tokyo, Japan

To compensate for the problem of diffusion kurtosis imaging (DKI) (i.e., requirement of large data, large noise generated by post-processing), a robust method based on diffusion-tensor imaging was designed to estimate diffusional kurtosis parallel and perpendicular to neuronal fibers. Map quality was improved by this method even with encoding directions reduced to six. The map was also accurate because its root-mean-square-error compared to the standard map (conventional calculation with 64 encoding directions) was smaller than by the conventional method, with differences being significant except one case.

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