Abstract: Systems and methods are described, which generate a plurality of virtual monochromatic X-ray images having different energy levels even with a CT system with single energy CT. An example CT system includes an X-ray tube in which a prescribed tube voltage (120 (kVp)) is applied and one or more processors. The one or more processors perform an operation including inputting a CT image generated based on the single energy CT data collected from a subject body to a trained neural network (94), and causing the trained neural network to infer 40 (keV), 50 (keV), 60 (keV), 80 (keV), 90 (keV), and 100 (keV) virtual monochromatic X-ray images based on the CT image.

Abstract: A computed tomography (CT) system with one or a plurality of processors to perform operations. The operations include reconstructing a series of virtual monochromatic X-ray images of the first energy and a series of virtual monochromatic X-ray images of the second energy based on data collected from an imaging subject, inputting the input image generated based on the reconstructed virtual monochromatic X-ray images of the second energy to the trained model and using the trained model to infer a series of virtual monochromatic X-ray image of the first energy, and generating a corrected series of virtual monochromatic X-ray images of the first energy based on the first reconstructed series of virtual monochromatic X-ray images of the first energy and the inferred series of virtual monochromatic X-ray images of the first energy.