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MRI is evolving from a purely imaging modality towards a quantitative tool for precise measurement of brain features. Q-MRI methods such as relaxometry or dMRI have shown promise in research settings, but the long scan times currently required to acquire high-quality Q-MRI maps impede their use in routine clinical practice. B-Q MINDED aims to enable Q-MRI examinations in routine clinical practice by removing current technological barriers. A gain in performance with a factor 2 to 5 is aimed for. This would drastically reduce scanning times and bring Q-MRI within reach of clinical routine diagnosis. In the longer-term (beyond the scope of this project) Q-MRI can be combined with big data approaches such as machine learning to eventually establish quantitative MRI-based biomarkers of disease.