  Fiber tracking produces large tractography datasets that are tens of
gigabytes in size consisting of millions of streamlines. Such vast amounts of
data require formats that allow for efficient storage, transfer, and
visualization. We present TRAKO, a new data format based on the Graphics Layer
Transmission Format (glTF) that enables immediate graphical and
hardware-accelerated processing. We integrate a state-of-the-art compression
technique for vertices, streamlines, and attached scalar and property data. We
then compare TRAKO to existing tractography storage methods and provide a
detailed evaluation on eight datasets. TRAKO can achieve data reductions of
over 28x without loss of statistical significance when used to replicate
analysis from previously published studies.
