Liver stiffness measured with elastography has useful clinical applications but requires the use of expensive, specialist equipment. In this study, we acquire dynamic ‘cine’ data of the liver to capture cardiac-induced liver motion during cardiac cine MRI. We quantify these data by applying a registration algorithm and use the deformation fields as a surrogate for liver stiffness. We demonstrate feasibility and good seven-day reproducibility and evaluate the effects of physiological haemodynamic changes using a liquid meal challenge. This technique would be widely applicable to hospital MRI scanners without elastography equipment.