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Abstract #4427

A novel method for realistic DWI data generation

Daniele Perrone 1 , Jan Aelterman 1 , Ben Jeurissen 2 , Aleksandra Pizurica 1 , Wilfried Philips 1 , and Jan Sijbers 2

1 IPI-TELIN-IMINDS, University of Gent, Gent, East Flanders, Belgium, 2 Vision Lab, University of Antwerp, Antwerp, Antwerp, Belgium

Diffusion Weighted Imaging (DWI) was introduced to explore the human connectome in vivo; although many fiber tractography (FT) algorithms exist, proving the effectiveness of their estimates is challenging. We present a biologically and physically realistic software phantom, with brain-like fibres configuration and images, fully tunable in terms of simulated acquisition parameters: a realistic bench test for quantitative analyses of every DWI-related algorithm.

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