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Abstract #3133

Evaluation of the Biexponential Model for the Description of Diffusion Data Acquired with Multiple B-Values

Letizia Squarcina1, Denis Peruzzo1, Filippo Arrigoni2, Fabio Triulzi3, Alessandra Bertoldo1

1Department of Information Engineering, University of Padova, Padova, Italy, Italy; 2Neuroimaging Unit, Scientific Institute, IRCCS Eugenio Medea,, Bosisio Parini, Lecco, Italy; 3Neuroimaging Unit, Fondazione IRCCS Ca' Granda, Ospedale Maggiore Policlinico, Milano, Italy, Italy

The aim of this work is to understand if diffusion brain data are better described by a bi-exponential model rather than with the conventional mono-exponential. We investigate if all brain areas or only a critical portion of them benefit from the more complicated bi-exponential model and if the derived diffusion indexes obtained with the two models are comparable. The bi-exponential model resulted to fit the data significantly better in all brain areas, with a higher impact in term of diffusion indexes on those where the estimated fraction volume suggests two components.