Diffusion MRI data suffers from many artifacts and parameters such as Echo and Repetition Time. From raw data to bundle segmentation, acquisition/processing issues in processing can happen and bias analyses. That is why quality control (QC) at each step of a study is important. We present a python-based library: dMRIQCpy that supports QC of raw data, intermediate DWI and T1 preprocessing, metrics from DWI, tractogram and bundles screenshots. dMRIQCpy enables users to save/load QC reports to permit collaboration between users. dMRIQCpy was tested on 3 datasets and highlighted a faster QC (50 % faster) than reviewing screenshots in a folder.
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