Computer-implemented method for determining a preferred order of N k-space trajectories (Traj i ), along which in each case an undersampled scan data set (MDS i ) can be scanned for a magnetic resonance fingerprinting (MRF) scan, comprising the following steps: - choosing a sampling pattern which comprises N k-space trajectories (Traj i ) along which scan data can be recorded in such a way that a scan data set (MDS i ) undersampled according to Nyquist can be created from the scan data scanned along at least one of the N k-space trajectories (Traj i ), wherein a signal characteristic (SV(x)) of at least one image point (x) reconstructed from the undersampled scan data set (MDS i ) can be determined from image points (x) reconstructed from the undersampled scan data sets (MDS i ), and one parameter of the examination object (U) can be determined per reconstructed image point (x) from the determined signal characteristics (SV(x)) by comparing the determined signal characteristics (SV(x)) with a comparison rule (VR), - varying an order (Ord k ) in which the N k-space trajectories (Traj i ) are to be sampled one after the other, so at least two different orders (Ord k ) are produced, - comparing test signal characteristics (TSV(x)), determined according to the orders (Ord k ) resulting due to the variation, with ideal signal characteristics (iSV(x)), wherein the ideal signal characteristics (iSV(x)) are determined from comparison signal characteristics of a dictionary of an MRF method, - determining a preferred order (Ord b ) from the resulting orders (Ord k ), with which artifacts in parameter maps determined by means of MRF can be avoided or at least reduced, by taking into account the results of the comparison. - choosing a sampling pattern which comprises N k-space trajectories (Traj i ) along which scan data can be recorded in such a way that a scan data set (MDS i ) undersampled according to Nyquist can be created from the scan data scanned along at least one of the N k-space trajectories (Traj i ), wherein a signal characteristic (SV(x)) of at least one image point (x) reconstructed from the undersampled scan data set (MDS i ) can be determined from image points (x) reconstructed from the undersampled scan data sets (MDS i ), and one parameter of the examination object (U) can be determined per reconstructed image point (x) from the determined signal characteristics (SV(x)) by comparing the determined signal characteristics (SV(x)) with a comparison rule (VR), - varying an order (Ord k ) in which the N k-space trajectories (Traj i ) are to be sampled one after the other, so at least two different orders (Ord k ) are produced, - comparing test signal characteristics (TSV(x)), determined according to the orders (Ord k ) resulting due to the variation, with ideal signal characteristics (iSV(x)), wherein the ideal signal characteristics (iSV(x)) are determined from comparison signal characteristics of a dictionary of an MRF method, - determining a preferred order (Ord b ) from the resulting orders (Ord k ), with which artifacts in parameter maps determined by means of MRF can be avoided or at least reduced, by taking into account the results of the comparison. <EOS>