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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