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Abstract #2682

SANDIAMICO: an open-source toolbox for Soma And Neurite Density Imaging (SANDI) with AMICO

Simona Schiavi1,2, Mario Ocampo-Pineda1, Raphaël Truffet3, Emmanuel Caruyer3, Alessandro Daducci1, and Marco Palombo4,5,6
1Department of Computer Science, University of Verona, Verona, Italy, 2Department of Neuroscience, Rehabilitation, Ophthalmology, Genetics, Maternal and Child Health (DINOGMI), University of Genoa, Genoa, Italy, 3CNRS, Inria, Inserm, Univ Rennes, Rennes, France, 4Centre for Medical Image Computing (CMIC), Department of Computer Science, University College London, London, United Kingdom, 5Cardiff University Brain Research Imaging Centre (CUBRIC), School of Psychology, Cardiff University, Cardiff, United Kingdom, 6School of Computer Science and Informatics, Cardiff University, Cardiff, United Kingdom


The soma and neurite density imaging (SANDI) model has been recently introduced to estimate diffusion MRI indices of apparent neurite and soma density noninvasively in the brain. Here, we introduce SANDIAMICO a fast (10 seconds for whole brain images) and robust implementation for estimating SANDI parameters using the Accelerated Microstructure Imaging via Convex Optimization (AMICO) framework. Using numerical simulations and in vivo human data, we show excellent performances of SANDIAMICO in terms of accuracy, precision, robustness to noise and intra-subject reproducibility.

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