Method for Providing Evaluation Information from at least one Magnetic Resonance Image

A computing system of a magnetic resonance apparatus, comprising:

• an input interface configured to receive a magnetic resonance image;
• a memory configured to store a trained machine-learning model;
• processing circuitry configured to:
• apply the trained machine-learning model to the magnetic resonance image;
• generate, via the trained machine-learning model, evaluation information comprising a difference map depicting pixel-by-pixel differences between the magnetic resonance image and a reference image,
• wherein the difference map visually marks a pathological abnormality and/or visually marks an abnormality with regard to image quality in the magnetic resonance image;
• and
• an output interface configured to provide the evaluation information including the difference map to a display of the magnetic resonance apparatus during a magnetic resonance examination,
• wherein the difference map enables a verification of an evaluation result of the trained machine-learning model.

A non-transitory computer-readable medium configured to store instructions thereon that, when executed by processing circuitry of a magnetic resonance apparatus, cause the magnetic resonance apparatus to:

• generate a magnetic resonance image of a patient,
• apply a trained machine-learning model to the magnetic resonance image,
• generate, via the trained machine-learning model, evaluation information comprising a difference map depicting pixel-by-pixel differences between the magnetic resonance image and a reference image,
• wherein the difference map visually marks a pathological abnormality and/or visually marks an abnormality with regard to image quality in the magnetic resonance image;
• and
• output the evaluation information including the difference map to a display of the magnetic resonance apparatus during a magnetic resonance examination,
• wherein the difference map enables a verification of an evaluation result of the trained machine-learning model.