RAPID MAGNETIC RESONANCE IMAGING METHOD AND APPARATUS BASED ON DEEP CONVOLUTIONAL NEURAL NETWORK

摘要

A rapid magnetic resonance imaging method and apparatus based on a deep convolutional neural network. The method comprises: step S1 (S101). constructing a deep convolutional neural network; step S2 (S102), acquiring offline magnetic resonance image data, training the deep convolutional neural network, and learning a mapping relationship between an undersampled magnetic resonance image and a fully sampled image; and step S3 (S103), reconstructing a magnetic resonance image by using the deep convolutional neural network learned in step S2 (S102). In the rapid magnetic resonance imaging method and apparatus based on a deep convolutional neural network, a large amount of collected magnetic resonance data is used to train an offline deep convolutional neural network and learn a mapping relationship between an undersampled magnetic resonance image and a fully sampled image, so as to fully use a large quantity of offline magnetic resonance images and develop prior information thereof, such that the offline deep convolutional neural network may restore more fine structures and image features from undersampled magnetic resonance data, and an undersampling factor and imaging precision of magnetic resonance imaging are improved.