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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