System and method to detect abnormality of subjects directly from MRI k-space data

A system to detect abnormality of subjects directly from magnetic resonance imaging (MRI) k-space data, comprising:

• at least one computer hardware processor;
• at least one non-transitory computer-readable storage medium;
• and
• at least one computer program stored in the at least one non-transitory computer-readable storage medium and executable on the at least one computer hardware processor, wherein the at least one computer program comprises:
• an acquisition module, configured to obtain target MRI k-space data by scanning a subject, wherein the target MRI k-space data are fully-sampled or undersampled or sparse MRI k-space data;
• a detection module, configured to obtain and output detection outcome from the target MRI k-space data using detection models;
• and
• a model training module, configured to train the detection models based on training data;
• wherein the training data are obtained by simulating k-space data from MRI image datasets of normal subjects and abnormal subjects, or
• wherein the training data are obtained by simulating k-space data of normal subjects and abnormal subjects from MRI image datasets of normal subjects.