The invention relates to a rapid magnetic
resonance image
reconstruction method based on undersampling, and the method comprises the following steps: step 1, collecting a large amount of magnetic
resonance data, and taking the data as a
data set of a deep reconstruction
network model; step 2, performing data enhancement on the training data by using all
mask matrixes possibly existing in the under-scanning process, and expanding the
data set acquired in the step 1; step 3, performing normalization
processing on the
data set expanded in the step 2; step 4, establishing a double-domain parallel reconstruction network; and step 5, training the double-domain parallel reconstruction network established in the step 4 by using the data subjected to normalization
processing in the step 3 to obtain a trained double-domain parallel reconstruction network, performing normalization preprocessing on an acquired pre-scanning image, sending the pre-scanning image into the trained network for
forward propagation, and outputting the pre-scanning image to obtain a reconstructed image. According to the method, the network has the capability of performing high-definition reconstruction of the
nuclear magnetic resonance image by using the undersampled data, and artifacts caused by the condition violating the sampling theorem can be eliminated.