One key element of open science is to make all data publicly available. In case of neuroscience, reconstructed images can be defaced to prevent data privacy violations, but no strategy to anonymize raw data has been presented to our best knowledge.
Here, chemical shift based prospective k-Space anonymization is presented. The subject wears an oil-filled mask which is superimposed onto the subject’s skin due to chemical shift. This low-cost solution (<15€) is easy to build and applicable for sequences with sufficient chemical shift in the A-P direction.