1. A method comprising: automatically detecting at least one of chemical anomalies and salient features in soft tissue of an object area, wherein two computed tomography pictures of the object area are recorded in a context of a different spectral distribution of X-radiation, wherein two image data records of the object area are reconstructed from raw data of the two computed tomography pictures, the two image data records including X-ray attenuation values of voxels on the object area in the context of a respective spectral distribution of the X-radiation, and wherein, for at least a portion of voxels of at least one slice of the object area whose mean value from two X-ray attenuation values of the two image data records lies within a prescribed value range, the automatically detecting includes, determining a data point of the voxel in a diagram from at least one of the two X-ray attenuation values of the voxel and two averaged X-ray attenuation values that are obtained by averaging X-ray attenuation values of voxels inside a prescribed volume around the voxel in the respective image data record, the diagram including the two X-ray attenuation values plotted against one another in the context of two spectral distributions of the X-radiation, calculating a perpendicular distance of the data point of the voxel from a connecting straight line that connects prescribed data points for pure fat and for pure soft tissue in the diagram, and marking and highlighting the voxel when the calculated distance exceeds a prescribed value for the distance.