Patent ID: 11908174
Assignee: GE PRECISION HEALTHCARE LLC
Field: Computer technology (Electrical engineering)
Classification: CPC G | IPC G

Claim 12:
13. A system comprising:
a non-transitory memory, wherein the non-transitory memory stores instructions, and a trained machine learning model;
a display device; and
a processor, wherein the processor is communicably coupled to the non-transitory memory and the display device, and wherein the processor, when executing the instructions, is configured to:
receive a localizer image of an imaging subject and a plurality of image slices corresponding to the localizer image;
map the localizer image to one or more bounding boxes using the trained machine learning model;
post-process the one or more bounding boxes to produce a coherent set of bounding boxes;
resolve boundaries of the coherent set of bounding boxes to produce a plurality of non-intersecting regions by extracting boundary box borders and determining if the boundary box borders overlap;
correlate coordinates of a region of the plurality of non-intersecting regions from a coordinate system of the localizer image to a coordinate system of the plurality of image slices to produce an image slice coordinate range;
label a subset of the plurality of image slices as belonging to the region of the imaging subject based on the image slice coordinate range; and
displaying the subset of the plurality of image slices via the display device.