Computer-implemented method for determining nuclear medical image data sets (39, 40) in dynamic nuclear medical imaging, comprising: - providing nuclear medical raw data sets of a field of view acquired over a time interval, wherein the time interval comprises a progression period of a tracer in the field of view and each nuclear medical raw data set is acquired in one of multiple time frames, into which the time interval is divided, - providing an anatomical image showing the anatomy in the field of view, - selecting at least one of the nuclear medical raw data sets as a basis raw data set, - reconstructing a first nuclear medical image data set by either * iterative reconstruction of the basis raw data set using a prior based on the anatomical image to incorporate anatomical information, or * using a first trained function applying such an iterative reconstruction to the anatomical image, and the basis raw data set and/or a preliminary reconstructed data set (37, 41) thereof, - using a second trained function to determine at least one further nuclear medical image data set for, * if the basis raw data set is taken from one single frame, at least one other frame, in particular all other frames, * else, at least one frame, in particular all frames, as output data, wherein input data of the second trained function comprises * the nuclear medical raw data set of the respective frame and/or a preliminary reconstructed image (37, 41) reconstructed therefrom, and * an already determined nuclear medical image data set (39, 40). - providing nuclear medical raw data sets of a field of view acquired over a time interval, wherein the time interval comprises a progression period of a tracer in the field of view and each nuclear medical raw data set is acquired in one of multiple time frames, into which the time interval is divided, - providing an anatomical image showing the anatomy in the field of view, - selecting at least one of the nuclear medical raw data sets as a basis raw data set, - reconstructing a first nuclear medical image data set by either * iterative reconstruction of the basis raw data set using a prior based on the anatomical image to incorporate anatomical information, or * using a first trained function applying such an iterative reconstruction to the anatomical image, and the basis raw data set and/or a preliminary reconstructed data set (37, 41) thereof, * iterative reconstruction of the basis raw data set using a prior based on the anatomical image to incorporate anatomical information, or * using a first trained function applying such an iterative reconstruction to the anatomical image, and the basis raw data set and/or a preliminary reconstructed data set (37, 41) thereof, - using a second trained function to determine at least one further nuclear medical image data set for, * if the basis raw data set is taken from one single frame, at least one other frame, in particular all other frames, * else, at least one frame, in particular all frames, as output data, wherein input data of the second trained function comprises * the nuclear medical raw data set of the respective frame and/or a preliminary reconstructed image (37, 41) reconstructed therefrom, and * an already determined nuclear medical image data set (39, 40). * if the basis raw data set is taken from one single frame, at least one other frame, in particular all other frames, * else, at least one frame, in particular all frames, as output data, wherein input data of the second trained function comprises * the nuclear medical raw data set of the respective frame and/or a preliminary reconstructed image (37, 41) reconstructed therefrom, and * an already determined nuclear medical image data set (39, 40).