Images of the brain taken with magnetic resonance imaging (MRI) scanners can examine water content of tissue, the movement of water inside the brain, blood flow, and the levels of certain chemicals. Rapid imaging is needed for some of these imaging types, where trade-offs for speed can create distortions in the images. My research involves investigating the quality of the scanner’s main magnetic field in order to predict these distortions. Combined with previous work identifying types of tissue from brain images and detailing ways to automatically decide how similar two images are, the distorted images can be stretched to fit the anatomically exact ones. Ultimately this work will make analysing multiple types of MRI data much more robust with applications in clinical trials, medical diagnosis, and research into brain diseases and signalling mechanisms.