Diffusion MRI is capable of quantifying in-vivo water diffusivity in the brain tissues. Although widely used in clinic, DTI1 suffers from the limitation of using a Gaussian to model white matter fibers, as in the case of fiber crossings. Simple Harmonic Oscillator based Reconstruction and Estimation2 (SHORE) allows to calculate the Orientation Distribution Function (ODF) and also to extract different scalar indices that can provide accurate estimation of microstructural properties of the brain tissues, including Propagator Anisotropy (PA), Mean Square Displacement (MSD), Return To the Origin Probability (RTOP), Return To the Axis Probability (RTAP) and Return To the Plane Probability (RTPP).
In-vivo quantification of brain microstructure: a preliminary analysis using the SHORE diffusion model
Brusini, Lorenza;Zucchelli, Mauro;RICCIARDI, GIUSEPPE KENNETH;PIZZINI, Francesca;MONTEMEZZI, STEFANIA;MENEGAZ, Gloria
2015-01-01
Abstract
Diffusion MRI is capable of quantifying in-vivo water diffusivity in the brain tissues. Although widely used in clinic, DTI1 suffers from the limitation of using a Gaussian to model white matter fibers, as in the case of fiber crossings. Simple Harmonic Oscillator based Reconstruction and Estimation2 (SHORE) allows to calculate the Orientation Distribution Function (ODF) and also to extract different scalar indices that can provide accurate estimation of microstructural properties of the brain tissues, including Propagator Anisotropy (PA), Mean Square Displacement (MSD), Return To the Origin Probability (RTOP), Return To the Axis Probability (RTAP) and Return To the Plane Probability (RTPP).
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