At least one embodiment of the present application relates to a method and/or a device for automatically detecting chemical anomalies and/or salient features in soft tissue of an object area. In at least one embodiment of the method, two image data records of two computed tomography pictures of the object are provided which are recorded in the context of a different spectral distribution of the X-radiation. The following steps are carried out for each voxel of at least one interesting slice whose X-ray attenuation values are characteristic of soft tissue. Firstly, two X-ray attenuation values of the voxel, or two averaged X-ray attenuation values of the environment of the voxel are used to determine a data point of the voxel in a diagram in which the X-ray attenuation values are plotted against one another in the context of the two spectral distributions of the X-radiation. A perpendicular distance of the data point from a connecting straight line that connects prescribed data points for pure fat and for pure soft tissue in the diagram is then calculated. Finally, the voxel is marked and displayed with highlighting when its distance exceeds a prescribed threshold value for the distance. In at least one embodiment, at least one of the proposed method and the associated device enable chemical anomalies to be automatically detected on the basis of computed tomography.