	US 12,112,477 B2
	Semi-automated system for real-time wound image segmentation and photogrammetry on a mobile platform
Brett L. Moore, San Antonio, TX (US)
Assigned to Solventum Intellectual Properties Company, Maplewood, MN (US)
Filed by Solventum Intellectual Properties Company, Maplewood, MN (US)
Filed on Sep. 1, 2023, as Appl. No. 18/241,538.
Application 18/241,538 is a continuation of application No. 17/697,718, filed on Mar. 17, 2022, granted, now 11,783,480.
Application 17/697,718 is a continuation of application No. 16/986,878, filed on Aug. 6, 2020, granted, now 11,315,245, issued on Apr. 26, 2022.
Application 16/986,878 is a continuation of application No. 16/308,158, granted, now 10,769,786, issued on Sep. 8, 2020, previously published as PCT/US2017/039214, filed on Jun. 26, 2017.
Claims priority of provisional application 62/355,780, filed on Jun. 28, 2016.
Prior Publication US 2023/0410299 A1, Dec. 21, 2023
Int. Cl. G06T 7/149 (2017.01); A61B 5/00 (2006.01); G06T 7/00 (2017.01); G06T 7/11 (2017.01); G06T 7/12 (2017.01); G16H 30/20 (2018.01); G16H 30/40 (2018.01)

CPC G06T 7/0012 (2013.01) [A61B 5/0013 (2013.01); A61B 5/0077 (2013.01); A61B 5/445 (2013.01); A61B 5/7475 (2013.01); G06T 7/11 (2017.01); G06T 7/12 (2017.01); G06T 7/149 (2017.01); G16H 30/20 (2018.01); G16H 30/40 (2018.01); G06T 2207/20104 (2013.01); G06T 2207/20116 (2013.01); G06T 2207/30088 (2013.01)]

14 Claims

1. A wound imaging system, comprising:

a non-transitory computer readable medium for storing a wound image; and

a computer processor configured to

output for display the wound image,

selectively receive via a user interface a first input from a user defining an initial perimeter of a wound displayed in the wound image;

identify features of the wound image on opposing sides of the initial perimeter of the wound,

identify an actual perimeter of the wound based on the first input and the identified features,

output for display a graphical representation of the identified actual perimeter of the wound,

identify a number of pixels enclosed by the actual perimeter of the wound,

detect an image scale-identification marker present in the wound image,

identify a size of each pixel based on the image scale-identification marker,

calculate a wound area based on the number of pixels enclosed by the actual perimeter of the wound,

receive a depth of the wound, and

calculate a volume of the wound based on the wound area and the depth.