US 11,922,646 B2
Tracking surgical items with prediction of duplicate imaging of items
Mayank Kumar, Sunnyvale, CA (US); Kevin J. Miller, Mountain View, CA (US); and Siddarth Satish, Redwood City, CA (US)
Assigned to Gauss Surgical Inc., Menlo Park, CA (US)
Filed by Gauss Surgical, Inc., Menlo Park, CA (US)
Filed on Jul. 28, 2021, as Appl. No. 17/387,686.
Application 17/387,686 is a continuation of application No. 16/459,418, filed on Jul. 1, 2019, granted, now 11,109,941.
Application 16/459,418 is a continuation of application No. PCT/US2017/068234, filed on Dec. 22, 2017.
Claims priority of provisional application 62/441,494, filed on Jan. 2, 2017.
Prior Publication US 2021/0353383 A1, Nov. 18, 2021
Int. Cl. G06T 7/33 (2017.01); A61B 90/92 (2016.01); A61B 90/96 (2016.01); G06V 10/46 (2022.01); G06V 10/54 (2022.01); G06V 10/75 (2022.01); A61B 34/20 (2016.01); A61B 50/37 (2016.01)
CPC G06T 7/33 (2017.01) [A61B 90/92 (2016.02); A61B 90/96 (2016.02); G06T 7/337 (2017.01); G06V 10/462 (2022.01); G06V 10/54 (2022.01); G06V 10/757 (2022.01); A61B 34/20 (2016.02); A61B 50/37 (2016.02); G06T 2207/20164 (2013.01)] 20 Claims
OG exemplary drawing
 
1. A computer-implemented method for tracking surgical textiles for collecting extracorporeal fluid lost by a patient, comprising:
receiving a first image comprising a first textile-depicting image region including a first fluid pattern;
receiving a second image comprising a second textile-depicting image region including a second fluid pattern;
measuring a likelihood that the first and second image regions depict at least a portion of the same textile by comparing an area of the first fluid pattern based on a number of pixels in the first image region having a color component value above a predetermined threshold, with an area of the second fluid pattern based on a number of pixels in the second image region having a color component value above the predetermined threshold;
determining an image transformation between the first and second image regions;
adjusting the second image region relative to the first image region based on the image transformation; and
based on the likelihood exceeding a predetermined threshold, displaying the first image region, the adjusted second image region, and the measured likelihood of potential duplicity on a display device.