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Abstract #5230

Prediction of Neurite Indices From Diffusion Tensor Imaging in the human cerebral cortex.

Hikaru Fukutomi1,2, Thai Akasaka2, Koji Fujimoto3, Takayuki Yamamoto2, Tomohisa Okada3, Kaori Togashi2, and Takuya Hayashi1

1RIKEN Center for Life Science Technologies, Kobe, Japan, 2Department of Diagnostic Imaging and Nuclear Medicine, Graduate School of Medicine, Kyoto University, Kyoto, Japan, 3Human Brain Research Center, Graduate School of Medicine, Kyoto University, Kyoto, Japan

Recent studies suggest that Neurite Orientation Dispersion and Density Imaging (NODDI) provides valuable information about cortical neurites. However, it requires lengthy time to acquire multi-shell data of diffusion weighted imaging (DWI), as well as to calculate parameters, neurite density index (NDI) and orientation dispersion index (ODI). We propose a method to estimate cortical NDI and ODI from diffusion tensor imaging (DTI), which is based on a mathematical relationship between NODDI and DTI assuming negligible cerebrospinal fluid (CSF) in the cortex. We also show the accuracy and time for scanning and computation.

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