Abstract: A method compensates for image artifacts in a first imaging device for imaging a first subregion of a body. The image artifacts are caused by a second subregion of the body being disposed outside of a first field of view for the first device. First measured data for the first field of view is acquired by the first device. The first subregion lies in the first field of view. Second measured data are acquired for a second field of view in a second imaging device. Image data representing the subregions in the second device are calculated from the second measured data. A model representing the subregions is calibrated using the calculated image data. The data representing the second subregion in the first device are simulated using a calibrated model. A correction of the first measured data is performed using simulated data for reducing the image artifacts.

Abstract: A method for improving the image quality of a three-dimensional magnetic resonance image dataset recorded with a magnetic resonance device, wherein, from at least one correction image dataset recorded with a modality other than magnetic resonance imaging, registered with the magnetic resonance image dataset, showing at least partly the same recording region as the magnetic resonance image dataset, especially an x-ray image dataset, relevant material parameters are derived locally-resolved for the magnetic resonance imaging, which are used for establishing a virtual magnetic resonance comparison dataset in a simulation wherein, as a function of a comparison between the magnetic resonance image dataset and the magnetic resonance comparison dataset, at least one measure parameter describing an image quality improvement measure to be applied in the k-space is determined and the image quality improvement measure is carried out with the measure parameter relating to the magnetic resonance image dataset.

Abstract: A method for representation of blood vessels and/or tissue in a heart of a human or animal body is described, with an imaging method and an assignment method, which allows the assignment to a heart phase of time-resolved images acquired with the imaging method. A mask series with a series of temporally-resolved first images of the heart is acquired, wherein the first images are assigned to a heart phase by the assignment method. A filling series with a series of temporally-resolved second images of the heart is acquired, wherein the second images are assigned to a heart phase by the assignment method. The first and second images assigned to the same heart phase are computed for creating a series of phase-selective subtraction images. The phase-selective subtraction images and/or the second images are computed, taking into account the heart movement for creating temporally and/or spatially-resolved perfusion data of the heart.