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Abstract #3906

dMRIQCpy: a python based toolbox for diffusion MRI quality control and beyond

Guillaume Theaud1,2 and Maxime Descoteaux1,2
1Sherbrooke Connectivity Imaging Laboratory (SCIL), Université de Sherbrooke, Canada, Sherbrooke, QC, Canada, 2Imeka Solutions Inc, Sherbrooke, QC, Canada


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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