A new compression format for tractography datasets reconstructed from dMRI

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 (dMRI)

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