System and method for region stratification on calibration images

A system for performing region stratification on calibration images, comprising:

• a memory encoding processor-executable routines;
• and
• a processor configured to access the memory and to execute the processor-executable routines, wherein the processor-executable routines, when executed by the processor, cause the processor to:
• obtain calibration scan data of a subject acquired with a magnetic resonance (MR) scanner of an MR imaging system, wherein the calibration scan data comprises coil calibration data, and wherein the coil calibration data is obtained from a plurality of radio frequency coils;
• input the calibration scan data into a trained deep learning-based multi-mask segmentation network;
• output from the trained deep learning-based multi-mask segmentation network labeled mask images for different anatomical stations, wherein a respective mask of a respective labeled mask image highlights an anatomical landmark of interest in a respective anatomical station of the different anatomical stations;
• and
• determine an extent of a respective anatomical landmark of interest in each respective anatomical station of the different anatomical stations for a respective localizer scan for each respective anatomical station based at least on the respective labeled mask image for each respective anatomical station, wherein the extent of the respective anatomical landmark of interest in each respective anatomical station of the different anatomical stations is determined for each radio frequency coil of the plurality of radio frequency coils for the respective localizer scan for each respective anatomical station.