@article{oai:repo.qst.go.jp:00047671,
 author = {Tachibana, Yasuhiko and Obata, Takayuki and Tsuchiya, Hiroki and Omatsu, Tokuhiko and Kishimoto, Riwa and Kawaguchi, Hiroshi and Nishikori, Akira and Kamagata, Koji and Hori, Masaaki and Aoki, Shigeki and Tsuji, Hiroshi and Inoue, Tomio and 立花 泰彦 and 小畠 隆行 and 土屋 洋貴 and 尾松 徳彦 and 岸本 理和 and 川口 拓之 and 辻 比呂志},
 issue = {8},
 journal = {European radiology},
 month = {May},
 note = {OBJECTIVES: 
A new method that can estimate diffusional kurtosis image (DKI), estimated DKI (eDKI), parallel and perpendicular to neuronal fibres from greatly limited image data was designed to enable quick and practical assessment of DKI in clinics. The purpose of this study was to discuss the potential of this method for clinical use.
\nMETHODS: 
Fourteen healthy volunteers were examined with a 3-Tesla MRI. The diffusion-weighting parameters included five different b-values (0, 500, 1,500, 2,000 and 2,500 s/mm2) with 64 different encoding directions for each of the b-values. K values were calculated by both conventional DKI (convDKI) and eDKI from these complete data, and also from the data that the encoding directions were abstracted to 32, 21, 15, 12 and 6. Error-pixel ratio and the root mean square error (RMSE) compared with the standard were compared between the methods (Wilcoxon signed-rank test: P < 0.05 was considered significant).
\nRESULTS: 
Error-pixel ratio was smaller in eDKI than in convDKI and the difference was significant. In addition, RMSE was significantly smaller in eDKI than in convDKI, or otherwise the differences were not significant when they were obtained from the same data set.
\nCONCLUSION: 
eDKI might be useful for assessing DKI in clinical settings.},
 pages = {2559--2566},
 title = {Diffusion-tensor-based method for robust and practical estimation of axial and radial diffusional kurtosis.},
 volume = {26},
 year = {2013}
}