Single coil deep learning based magnetic resonance imaging system and method

A magnetic resonance imaging (MRI) system, comprising:

• a magnet configured to generate a polarizing magnetic field about at least a portion of a subject arranged in the MRI system;
• a gradient coil assembly including a readout gradient coil, a phase gradient coil, a slice selection gradient coil configured to apply at least one gradient field to the polarizing magnetic field;
• a radio frequency (RF) system configured to apply an RF field to the subject and to receive magnetic resonance signals from the subject;
• and
• a processing system programmed to:
• determine a Partial Fourier (PF) factor and an acceleration factor for acquiring k-space data from the subject;
• acquire a set of k-space data from the subject using the PF factor along with an under-sampling technique, wherein the under-sampling technique is dependent on the acceleration factor;
• and
• reconstruct an image of the subject by processing the set of k-space data using a deep learning (DL) network.

A non-transitory computer-readable medium comprising instructions, which when executed by a computer, cause the computer to carry out a method for Single Shot Fast Spin Echo (SSFSE) T2 magnetic resonance imaging, the method comprising the steps of:

• determining a Partial Fourier (PF) factor and an acceleration factor for acquiring k-space data from a subject;
• acquiring a set of k-space data from the subject using the PF factor along with an under-sampling technique, wherein the under-sampling technique is dependent on the acceleration factor;
• and
• reconstructing an image of the subject by processing the set of k-space data using a deep learning (DL) network.