A new compression format for tractography datasets reconstructed from dMRI
Caroline Presseau 1 , Pierre-Marc Jodoin 1 , and Maxime Descoteaux 1
University of Sherbrooke, Sherbrooke,
Fiber tracking dataset are heavy to compute, but also
difficult to visualize and hard to store on disk
(especially when dealing with a collection of brains).
These problems call for a fiber-specific compression. As
of today, no fiber compression format has yet been
adopted and the need for it is now becoming an issue for
future connectomics research. In this work, we propose a
new compression format for tractography datasets
reconstructed from diffusion magnetic resonance imaging
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