Computer-implemented method for determining a dynamic contrast-enhanced magnetic resonance data set, magnetic resonance imaging device, computer program and electronically readable storage medium

A control device for a magnetic resonance imaging device, the control device determining a dynamic contrast-enhanced magnetic resonance data set of an imaging region of a patient, wherein a k-space to be acquired is divided into a central region including a k-space center and a peripheral region surrounding the central region, and wherein the peripheral region includes a partitioning number of peripheral k-space portions, wherein the control device comprises:

• processing circuitry configured to cause the control device to
• acquire, using a plurality of reception coils, magnetic resonance signals via parallel imaging and a k-space acquisition scheme, in which the central region and one of the peripheral k-space portions are alternatingly imaged in a pair of acquisition steps, such that, after the partitioning number of such pairs, the k-space to be acquired has been imaged and a sliding reconstruction window is applied to reconstruct an additional magnetic resonance image after each pair of acquisition steps, wherein undersampling in at least two k-space directions is performed during acquisition of the k-space, and wherein the peripheral k-space portions are chosen in order, and
• reconstruct a time series of magnetic resonance images forming the dynamic contrast-enhanced magnetic resonance data set from the magnetic resonance signals and sensitivity information regarding the plurality of reception coils by using the sliding reconstruction window and a reconstruction technique for undersampled magnetic resonance data, wherein
• k-space trajectories for each acquisition step are chosen to allow controlled aliasing in all three spatial dimensions including a readout direction,
• for each acquisition step, a k-space trajectory is defined by a wave-encoded 3D gradient echo magnetic resonance sequence using sinusoidal gradient pulses with a quarter cycle phase shift in phase encoding directions,
• a low rank plus sparse reconstruction technique is used as the reconstruction technique, and
• the contrast-enhanced dynamic magnetic resonance data as a space-time matrix is assumed as a linear superposition of a spatially and temporally correlated image background matrix and a sparse dynamic information matrix.