Identifying image artifacts by means of machine learning

A learning processing apparatus, comprising:

• a processor;
• and
• a data storage device storing instructions which, upon being executed, allow the processor to at least:
• capture reference acquisitions provided to a processing apparatus,
• recognize image objects in reference acquisitions as objects, and
• identify image artifacts in the image objects as artifact objects, and to train an identification unit according to a machine learning principle, based upon recognizing the image artifacts of the reference acquisitions of a first image data library of the identification unit.

An identification method for identifying image artifacts automatically in an image acquisition produced via a medical imaging system, the identification method comprising:

• providing an identification unit;
• providing an image acquisition produced via a medical imaging system;
• inspecting, via the identification unit, the image acquisition for image artifacts;
• and
• by processing the image acquisition, at least one of labeling image artifacts ascertained during the inspecting,
• reducing image artifacts ascertained during the inspecting, and
• eliminating image artifacts ascertained during the inspecting.

A control device, for controlling a medical imaging system, comprising:

• at least one processor designed to perform inspecting an acquired image for image artifacts;
• and
• processing the acquired image by at least one of labeling image artifacts ascertained during the inspecting,
• reducing image artifacts ascertained during the inspecting, and
• eliminating image artifacts ascertained during the inspecting.