Forecast of mri images by means of a forecast model trained by supervised learning

A system comprising:

• a receiving unit;
• a control and calculation unit;
• and
• an output unit;
• wherein
• the control and calculation unit being configured to prompt the receiving unit to receive at least two magnetic resonance imaging (MRI) images, wherein at least one received MRI image of the at least two MRI images shows an examination region before administering a contrast agent, and at least one received MRI image of the at least two MRI images shows the examination region after administering the contrast agent,
• the control and calculation unit being configured to predict one or more MRI images by means of a prediction model based on the at least two MRI images,
• wherein the prediction model was trained by means of supervised learning to predict based on a multiplicity of reference MRI images, some of which show the examination region during a first time span, some of which show the examination region during a second time span, the first time span starting before administering the contrast agent and ending at a time span after administering the contrast agent, and the second time span following the first time span chronologically,
• wherein the one or more predicted MRI images show the examination region during a second time span, the second time span following the first time span chronologically, and
• the control and calculation unit being configured to prompt the output unit to display the one or more predicted MRI images, to output the one or more predicted MRI images, or to store the one or more predicted MRI images in a data storage medium.

A computer program product comprising at least one non-transitory computer-readable medium comprising one or more instructions that, when executed by a computer system, the computer system to execute the following:

• receiving at least two magnetic resonance imaging (MRI) images, wherein at least one received MRI image of the at least two MRI images shows an examination region before administering a contrast agent, and at least one received MRI image of the at least two MRI images shows the examination region after administering the contrast agent;
• feeding the at least two MRI images to a prediction model, the prediction model having been trained by means of supervised learning to predict based on a multiplicity of reference MRI images, some of which show the examination region during a first time span, some of which show the examination region during a second time span, the first time span starting before administering the contrast agent and ending at a time span after administering the contrast agent, and the second time span following the first time span chronologically;
• generating one or more predicted MRI images showing the examination region during the second time span by means of the prediction model, the second time span following the first time span chronologically;
• and
• displaying the one or more predicted MRI images, outputting the one or more predicted MRI images, or storing the one or more predicted MRI images in a data storage medium.

Use of a contrast agent in a magnetic resonance imaging (MRI) method, the MRI method comprising the following:

• administering the contrast agent, the contrast agent spreading in an examination region;
• generating at least two MRI images, the at least two MRI images comprising at least one MRI image of the examination region before administering the contrast agent and comprising at least one MRI image of the examination region after administering the contrast agent;
• feeding the generated MRI images to a prediction model, the prediction model having been trained by means of supervised learning to predict, based on a multiplicity of reference MRI images, some of which show the examination region during a first time span, some of which show the examination region during a second time span, the first time span starting before administering the contrast agent and ending at a time span after administering the contrast agent, and the second time span following the first time span chronologically;
• receiving one or more predicted MRI images showing the examination region during the second time span, as output from the prediction model, the second time span following the first time span chronologically;
• and
• displaying the one or more predicted MRI images, outputting the one or more predicted MRI images, or storing the one or more predicted MRI images in a data storage medium.