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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