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

Claim 0:
1. A method comprising:
receiving a localizer image of an imaging subject and a plurality of image slices corresponding to the localizer image;
extracting a plurality of features from the localizer image;
mapping the plurality of features to one or more bounding boxes for one or more pre-determined regions of the imaging subject using a trained machine learning model;
resolving boundaries of the one or more bounding boxes to produce a plurality of non-intersecting regions by extracting boundary box borders and determining if the boundary box borders overlap; and
responding to a region of the plurality of non-intersecting regions being a target region by:
correlating coordinates of the region from a coordinate system of the localizer image to a coordinate system of the plurality of image slices to produce a target image slice coordinate range; and
labeling a subset of the plurality of image slices as belonging to the target region of the imaging subject based on the target image slice coordinate range.