System and method for generating a magnetic resonance image using prospective motion correction and parallel imaging

摘要

A method for generating a magnetic resonance (MR) image includes acquiring MR data from each of a plurality of RF coils and applying a prospective motion correction method to the MR data for each RF coil including determining a set of motion measurements that include a scan plane orientation associated with each data point in the MR data. The MR data for each RF coil is divided into a plurality of scan plane orientation groups based on motion changes. A set of unaliasing coefficients is generated for each scan plan orientation group and applied to the MR data to synthesize data for each RF coil. The acquired MR data and synthesized data for each RF coil is combined to generate a scan plane orientation data set. Each scan plane orientation data set is combined to generate a complete k-space data set.

主权项

1. A method for generating a magnetic resonance (MR) image, the method comprising:
acquiring MR data from each of a plurality of RF coils; applying a prospective motion correction method to the MR data for each of the plurality of RF coils including determining a set of motion measurements, the set of motion measurements including a scan plane orientation associated with each data point in the MR data; determining motion changes based on the set of motion measurements and a predetermined threshold; dividing the MR data for each of the plurality of RF coils into a plurality of scan plane orientation groups based on the motion changes; generating a set of unaliasing coefficients for each scan plane orientation group; for each scan plane orientation group, applying a set of unaliasing coefficients to the MR data to synthesize data for each RF coil; for each scan plane orientation group, combining the acquired MR data and synthesized data for each RF coil to generate a scan plane orientation data set; combining each scan plane orientation data set to generate a complete k-space data set; and generating an image based on the complete k-space data set.