Machine learning based method and system for analyzing image artifacts and imaging system failure

A system for addressing malfunction of a medical imaging device, the system comprising:

• a memory storing a trained machine learning model;
• and
• a processor coupled to the memory, the processor configured to:
• classify a type of an image artifact in a medical image acquired by the medical imaging device by using the trained machine learning model;
• analyze system data associated with acquisition of the medical image to identify one or more system parameters that might have contributed to the type of image artifact;
• and
• provide an action for addressing the image artifact based on the identified one or more system parameters.