A Matlab toolbox for examining the quality of structural (SNR) and functional (tSNR, SFNR) MRI

Estimate the quality of your diffusion-weighted data to map human connectomes.

This application will provide a recommendation on which axis you should flip the bvecs of your data, if it is necessary. It will perform fiber tracking using 4 different gradient flip options (no flip, x flip, y flip, and z flip) and report the most likely flip needed for your data. The flip recommendation is made based on the flip direction wit…

Generates multiple graphs that can be used as a quality check for the outputs of AFQ and LiFE. This application will only work if the zero weighted fibers are removed AFTER AFQ.