US 12,186,120 B2
Methods and systems for x-ray imaging and labeling
Michael Q. Bailey, Sr., Export, PA (US); Scott Bender, South Portland, ME (US); Patrick Raymond Doyle, Old Orchard Beach, ME (US); Pavan Durgempudi, Portland, ME (US); Benjamin Litchfield, Portland, ME (US); David Steines, Scarborough, ME (US); and Benjamin Schestopol, Scarborough, ME (US)
Assigned to IDEXX Laboratories, Inc., Westbrook, ME (US)
Filed by IDEXX Laboratories, Inc., Westbrook, ME (US)
Filed on Feb. 12, 2024, as Appl. No. 18/438,691.
Application 18/438,691 is a division of application No. 17/141,893, filed on Jan. 5, 2021, granted, now 11,918,401.
Claims priority of provisional application 62/959,022, filed on Jan. 9, 2020.
Prior Publication US 2024/0180511 A1, Jun. 6, 2024
Int. Cl. A61B 6/50 (2024.01); G06F 18/243 (2023.01); G06N 20/00 (2019.01); G06T 7/00 (2017.01); G16H 15/00 (2018.01); G16H 30/20 (2018.01); G16H 30/40 (2018.01); G16H 50/20 (2018.01); G16H 70/20 (2018.01)
CPC A61B 6/508 (2013.01) [G06F 18/243 (2023.01); G06N 20/00 (2019.01); G06T 7/0014 (2013.01); G16H 15/00 (2018.01); G16H 30/20 (2018.01); G16H 30/40 (2018.01); G16H 50/20 (2018.01); G16H 70/20 (2018.01); G06T 2207/10116 (2013.01); G06T 2207/20081 (2013.01); G06T 2207/30004 (2013.01); G06T 2207/30168 (2013.01); G06V 2201/03 (2022.01)] 20 Claims
OG exemplary drawing
 
1. A computer implemented method for x-ray imaging and labeling comprising:
capturing, via an x-ray machine, a plurality of x-ray images of a patient covering a number of different anatomy of the patient in a predetermined shot order structure, and applying a preset label to each of the plurality of x-ray images according to the predetermined shot order structure independent of content of the plurality of x-ray images,
ceasing use of the predetermined shot order structure;
enabling use of a free-form shot order structure;
using a machine learning algorithm, via execution by a computing device, to process the plurality of x-ray images for identification of an anatomy in respective x-ray images of the plurality of x-ray images; and
associating, by the computing device, a label with each of the plurality of x-ray images based on the identification of the anatomy, wherein the label is selected from among a preset labeling scheme for anatomy based on a species of the patient.