Method and apparatus for generating magnetic resonance image

A method of generating a magnetic resonance (MR) image, the method comprising:

• receiving, by a receiving coil, an MR signal through a plurality of channels;
• generating k-space data for each channel by undersampling the MR signal received from the receiving coil;
• generating channel-by-channel hybrid-space data having both a k domain and a spatial domain by performing an inverse Fourier transform on the k-space data for each channel;
• reconstructing missing data by applying a parallel image reconstruction, while sliding a unitary window to the channel-by-channel hybrid-space data, within an area corresponding to the unitary window;
• generating channel-by-channel MR images by using channel-by-channel reconstructed data;
• generating a final MR image based on the channel-by-channel MR images;
• and
• wherein the image processor is configured to slide the unitary window at pixel intervals arbitrarily set in the channel-by-channel hybrid-space data.

A computer program for generating a scenario recorded on a non-transitory computer-readable recording medium including computer program instructions executable by a processor, the computer program including instructions for causing a computing device, when executed by a processor of the computing device, to perform steps of

• receiving, by a receiving coil, an magnetic resonance (MR) signal through a plurality of channels;
• generating k-space data for each channel by undersampling the MR signal received from the receiving coil;
• generating channel-by-channel hybrid-space data having both a k domain and a spatial domain by performing an inverse Fourier transform on the k-space data for each channel;
• reconstructing missing data by applying a parallel image reconstruction, while sliding a unitary window to the channel-by-channel hybrid-space data, within an area corresponding to the unitary window;
• generating channel-by-channel MR images by using channel-by-channel reconstructed data;
• and
• generating a final MR image based on the channel-by-channel MR images.