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Abstract #1741

Deconvolution based approaches for the simultaneous quantification of IVIM, Free Water and non-Gaussian behavior in Diffusion MRI.

Alberto De Luca1,2, Filippo Arrigoni2, Alessandra Bertoldo1, and Martijn Froeling3

1Department of Information Engineering, University of Padova, Padova, Italy, 2Neuroimaging Lab, Scientific Institute IRCCS Eugenio Medea, Bosisio Parini (LC), Italy, 3Radiology Department, University Medical Center Utrecht, Utrecht, Netherlands

The in-vivo Diffusion MRI (dMRI) signal does not generally arise from a single diffusion process but from the sum of multiples. In this study we investigated a deconvolution approach to simultaneously estimate non-Gaussian diffusion, free water (FW), IVIM and tissue fractions. We analyzed the brain data of a subject acquired with 60 different b-values with four deconvolution based approaches, and compared their results in terms of identified components. The four approaches provided consistent results, with the IVIM compartment being the most similar component across the four methods. Reliable quantification of multiple compartments, including membrane restrictions, is feasible with regularized approaches.

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