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

Claim 5:
6. 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; 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,

wherein correlating coordinates of the region from the coordinate system of the localizer image to the coordinate system of the plurality of image slices to produce the target image slice coordinate range, comprises, mapping a first boundary and a second boundary of the region from a first axis in the coordinate system of the localizer image, to a second axis in the coordinate system of the plurality of image slices, to produce the target image slice coordinate range, wherein the plurality of image slices are indexed based on distance along the second axis;
wherein distance along the first axis is measured in pixels, and distance along the second axis is measured in millimeters, and wherein a relationship between distance along the first axis and distance along the second axis is given by:, Z
   k
  
  =
  
   
    Z
    ref
   
   +
   
    
     Y
     k
    
    *
    
     Spacing
     
      Z
      Y
     
    
    *
    cos
    ⁢
      
    θ, where Zk is a distance of a point k along the second axis, Zref is an offset between an origin of the first axis and an origin of the second axis, Yk is a distance of the point k along the first axis, Spacing is a ratio between distance along the second axis and distance along the first axis, and θ is an angle between the first axis and the second axis, wherein when θ equals 0, the first axis is parallel to the second axis.