Dynamic Susceptibility Contrast (DSC-) MRI estimates biomarkers, such as cerebral blood volume (CBV). However, data quality varies between centres and quality control (QC) is carried out by qualitative review, which is time-consuming and subjective. An automated QC pipeline was developed and tested on 34 patient data sets. The pipeline analysed four slices from each patient, producing SNR, RMSE, relative CBV (rCBV), and quality maps for each slice, which were used to quantify QC. Average values for each parameter were produced for each centre, protocol and field strength, showing variability in data quality and providing a basis for multi-centre protocol optimisation.