US 12,254,627 B2
Image analysis
Yijun Huang, Fitchburg, WI (US)
Assigned to MERIT CRO, Inc., Madison, WI (US)
Filed by MERIT CRO, Inc., Madison, WI (US)
Filed on Dec. 15, 2023, as Appl. No. 18/541,153.
Application 18/541,153 is a continuation of application No. 17/582,538, filed on Jan. 24, 2022, granted, now 11,861,830.
Application 17/582,538 is a continuation of application No. 16/519,061, filed on Jul. 23, 2019, granted, now 11,232,557, issued on Jan. 25, 2022.
Application 16/519,061 is a continuation of application No. 15/072,046, filed on Mar. 16, 2016, granted, now 10,360,673, issued on Jul. 23, 2019.
Claims priority of provisional application 62/269,601, filed on Dec. 18, 2015.
Claims priority of provisional application 62/138,485, filed on Mar. 26, 2015.
Prior Publication US 2024/0193771 A1, Jun. 13, 2024
This patent is subject to a terminal disclaimer.
Int. Cl. G06T 7/00 (2017.01); A61B 3/10 (2006.01); A61B 3/14 (2006.01); A61B 5/00 (2006.01); A61B 5/1455 (2006.01); A61B 8/08 (2006.01); A61B 90/00 (2016.01); A61F 9/008 (2006.01); A61N 5/10 (2006.01); G01B 9/02015 (2022.01); G01B 9/02091 (2022.01); G01B 11/00 (2006.01); G06T 7/30 (2017.01); G06T 7/62 (2017.01)
CPC G06T 7/0012 (2013.01) [A61B 3/1005 (2013.01); A61B 3/102 (2013.01); A61B 3/14 (2013.01); A61B 5/0035 (2013.01); A61B 5/0037 (2013.01); A61B 5/0066 (2013.01); A61B 5/14555 (2013.01); A61B 5/7246 (2013.01); A61B 8/085 (2013.01); G01B 9/0203 (2013.01); G01B 9/02091 (2013.01); G01B 11/00 (2013.01); G06T 7/30 (2017.01); G06T 7/62 (2017.01); A61B 2090/364 (2016.02); A61B 2090/3735 (2016.02); A61F 2009/00851 (2013.01); A61N 5/1017 (2013.01); G06T 2207/10101 (2013.01); G06T 2207/20104 (2013.01); G06T 2207/30041 (2013.01); G06T 2207/30096 (2013.01); G06T 2211/456 (2023.08)] 19 Claims
OG exemplary drawing
 
1. A method for determining the area and/or volume of a lesion in the eye of a patient using optical coherence tomography (OCT), the method comprising:
scanning the eye of the patient with an OCT apparatus to acquire three-dimensional OCT data comprising at least a first segment and a second segment comprising the region of interest;
acquiring two-dimensional image data comprising the region of interest;
providing a boundary around the region of interest in the two-dimensional image data, the boundary enclosing an area A;
calculating the volume v within the boundary and between the first segment and the second segment;
calculating the average thickness t between the first segment and the second segment along the boundary;
calculating the volume of the region of interest V=v−(t×A); and
via a computer processor correlating the two-dimensional and three-dimensional data to quantify the lesion in the eye of the patient.