Abstract: This disclosure may provide a system and a method. The method may include obtaining one or more sets of reference signals collected by a coil of a magnetic resonance imaging (MRI) device in a pre-scan. The pre-scan may be performed on a subject before an MRI scan of the subject. The method may also include obtaining a first fault detection model. The first fault detection model may be a trained machine learning model. The method may further include determining whether the coil has a failure based on the one or more sets of reference signals and the first fault detection model.

Abstract: Embodiments of the present disclosure provide methods and systems for processing a medical image. The method may include obtaining a first image; determining a second image by optimizing the first image; and obtaining a third image by inputting the second image and K-space dataset determined based on the second image into a fidelity model, wherein the fidelity model includes a trained machine learning model.