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Generative sampling in tractography using autoencoders (GESTA) [article]

Jon Haitz Legarreta and Laurent Petit and Pierre-Marc Jodoin and Maxime Descoteaux
2022 arXiv   pre-print
In this work, we propose a generative, autoencoder-based method, named GESTA (Generative Sampling in Tractography using Autoencoders), that produces streamlines with better spatial coverage.  ...  The GESTA framework offers considerable gains in bundle coverage using a reduced set of seeding streamlines with a 1.5x improvement for the "Fiber Cup", and 6x for the ISMRM 2015 Tractography Challenge  ...  Figure 1 : Illustration of the GESTA (Generative Sampling in Tractography using Autoencoders) generative tractography pipeline using autoencoders.  ... 
arXiv:2204.10891v1 fatcat:knat37dg4zecrhbxpg4b24vqby