The calculation of k-space trajectories in MRI usually involves prior knowledge of the FOV, since the desired FOV defines a minimum k-space sampling density. The reconstruction of a FOV, which is larger than what is represented by the primary sampling density, is equal to undersampling in k-space. Arising artefacts are strictly dependent on the underlying k-space trajectory which leads to advantages for k-space trajectories with low-coherent aliasing properties also for the combination with non-linear reconstruction techniques.Based on a generalised form of the Seiffert Spirals, this abstract describes a k-space trajectory that does not require prior commitment to an imaging FOV.