Respiratory motion of abdominal organs causes motion artifacts, blur and signal loss in DCE-MRI images which can confound liver perfusion quantification. To correct for respiratory motion a motion signal derived using rigid-body image registration was used to group acquired data from a golden-angle stack-of-stars sequence into motion states. These were then aligned using deformable image registration and the resulting deformation vector fields were used to deform complex projection images reconstructed from individual spokes. Deformed projections were finally combined using view-sharing into an image time series. The resulting portal-venous input function exhibited a higher signal enhancement and no breathing-induced intensity ripples.