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Abstract #2919

Modeling of Brain Microstructure by Kurtosis Analysis of Neural Diffusion Organization (KANDO)

Edward S. Hui 1 , G. Russell Glenn 2 , Joseph A. Helpern 3 , and Jens H. Jensen 4

1 Diagnostic Radiology, The University of Hong Kong, Pokfulam, Hong Kong, 2 Neurosciences & Center for Biomedical Imaging, Medical University of South Carolina, Charleston, SC, United States, 3 Radiology, Neurosciences & Center for Biomedical Imaging, Medical University of South Carolina, Charleston, SC, United States, 4 Radiology & Center for Biomedical Imaging, Medical University of South Carolina, Charleston, SC, United States

A tissue modeling framework, referred to as kurtosis analysis of neural diffusion organization (KANDO), is proposed to help provide a biophysical interpretation of the diffusion metrics estimated with diffusional kurtosis imaging (DKI). The framework supports a variety of multiple Gaussian compartment models. The model parameters are determined by minimizing the square of the Frobenius norm of the difference between the model and measured kurtosis tensors. KANDO differs from most other tissue modeling methods for diffusion MRI in that it only utilizes the information contained in the diffusion and kurtosis tensors, which can both be estimated with DKI.

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