| CPC G06T 7/0016 (2013.01) [G01R 33/5601 (2013.01); G01R 33/5608 (2013.01); G06T 11/00 (2013.01); G16H 50/50 (2018.01); G06T 2207/10016 (2013.01); G06T 2207/10088 (2013.01); G06T 2207/20081 (2013.01); G06T 2207/20084 (2013.01); G06T 2207/30101 (2013.01); G06T 2210/41 (2013.01)] | 12 Claims |

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1. A computer-implemented method comprising:
receiving a sequence of measured radiological images, wherein the measured radiological images show an examination region of an examination object at different, consecutive time points after an administration of a contrast agent, wherein the contrast agent leads to a contrast enhancement of blood vessels in the examination region, wherein the contrast enhancement of the blood vessels in the measured radiological images decreases as time increases,
calculating a sequence of artificial radiological images based on the measured radiological images, wherein the contrast enhancement of the blood vessels in the artificial radiological images remains unchanged over time, and
outputting the artificial radiological images,
wherein the calculating the sequence of artificial radiological images comprises:
supplying the measured radiological images to a prediction model, wherein the prediction model has been trained based on reference data in a supervised learning process to compensate for contrast enhancement of blood vessels that falls over time, wherein the reference data comprise measured radiological images after administration of an extracellular contrast agent and measured radiological images after administration of an intravascular contrast agent and/or artificially generated radiological images in which contrast enhancement of blood vessels that decreases over time in the measured radiological images has been compensated for afterwards by image processing methods, and
receiving the sequence of artificial radiological images from the prediction model.
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