Recently proposed compartmental models can providenew micro-structural indexes to characterize tissue microstructuralproperties from diffusion MRI data. The state-of-theartof compartmental models of brain is Neurite OrientationDispersion and Density Imaging (NODDI), which is able todescribe the diffusion process in both intra-cellular and extracellularspace in the human brain. In our work we applied thismodel to a group of human Diffusion Spectrum Imaging (DSI)data and we strongly believe that the computation of its indexescan provide new insights of the differences between gray matter(GM), white matter (WM) and cerebrospinal fluid (CSF).
Diffusion MRI compartmental model analysis of DSI data
Zerbato, F.;Khan, Sehresh;Mendez Guerrero, A.;Granziera C.;Menegaz, G.;Zucchelli, M.
2014-01-01
Abstract
Recently proposed compartmental models can providenew micro-structural indexes to characterize tissue microstructuralproperties from diffusion MRI data. The state-of-theartof compartmental models of brain is Neurite OrientationDispersion and Density Imaging (NODDI), which is able todescribe the diffusion process in both intra-cellular and extracellularspace in the human brain. In our work we applied thismodel to a group of human Diffusion Spectrum Imaging (DSI)data and we strongly believe that the computation of its indexescan provide new insights of the differences between gray matter(GM), white matter (WM) and cerebrospinal fluid (CSF).
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