Recently, several reconstruction methods of diffusion MRI signal have been introduced in order to overcome Diffusion Tensor Imaging (DTI) limitations. One of these models is the 3D Simple Harmonic Oscillator based Reconstruction and Estimation1 (3D-SHORE) which enables the reconstruction of fiber crossings via the calculation of the Orientation Distribution Function (ODF). From 3D-SHORE it is also possible to derive new diffusion indices such as the Return To the Origin Probability (RTOP), Return To the Axis Probability (RTAP), and Return To the Plane Probability (RTPP)1, in addition to well-established Fractional Anisotropy (FA), and Mean Diffusivity (MD).
Diffusion MRI characterization of stroke lesions using 3D-SHORE microstructural indices
Brusini, Lorenza;Zucchelli, Mauro;DADUCCI, Alessandro;MENEGAZ, Gloria
2016-01-01
Abstract
Recently, several reconstruction methods of diffusion MRI signal have been introduced in order to overcome Diffusion Tensor Imaging (DTI) limitations. One of these models is the 3D Simple Harmonic Oscillator based Reconstruction and Estimation1 (3D-SHORE) which enables the reconstruction of fiber crossings via the calculation of the Orientation Distribution Function (ODF). From 3D-SHORE it is also possible to derive new diffusion indices such as the Return To the Origin Probability (RTOP), Return To the Axis Probability (RTAP), and Return To the Plane Probability (RTPP)1, in addition to well-established Fractional Anisotropy (FA), and Mean Diffusivity (MD).
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