US 11,928,834 B2
Systems and methods for generating three-dimensional measurements using endoscopic video data
Cole Kincaid Hunter, Santa Clara, CA (US); Brian Fouts, Morgan Hill, CA (US); and Sanskruti Maske, Gondia (IN)
Assigned to Stryker Corporation, Kalamazoo, MI (US)
Filed by Stryker Corporation, Kalamazoo, MI (US)
Filed on May 23, 2022, as Appl. No. 17/664,640.
Claims priority of provisional application 63/264,650, filed on Nov. 29, 2021.
Claims priority of provisional application 63/192,506, filed on May 24, 2021.
Prior Publication US 2022/0375114 A1, Nov. 24, 2022
Int. Cl. G06T 7/60 (2017.01); A61B 1/00 (2006.01); A61B 34/10 (2016.01); G01S 17/894 (2020.01); G06T 7/11 (2017.01); G06T 7/593 (2017.01); G06T 17/00 (2006.01)
CPC G06T 7/60 (2013.01) [A61B 1/000094 (2022.02); A61B 34/10 (2016.02); G01S 17/894 (2020.01); G06T 7/11 (2017.01); G06T 7/593 (2017.01); G06T 17/00 (2013.01); A61B 2034/105 (2016.02); G06T 2200/24 (2013.01); G06T 2207/10012 (2013.01); G06T 2207/10016 (2013.01); G06T 2207/10068 (2013.01); G06T 2207/20081 (2013.01)] 36 Claims
OG exemplary drawing
 
1. A method for measuring three-dimensional distances using endoscopic images, the method comprising:
receiving video data captured from an endoscopic imaging device configured to image an internal area of a patient;
capturing one or more two-dimensional images of the internal area from the received video data, wherein an image of the one or more two-dimensional images comprises a visualization of an object, and wherein the object comprises one or more fiducial markers configured to indicate a pre-determined dimension of the object or the fiducial marker, or both;
generating a three-dimensional model of the internal area based on the captured one or more two-dimensional images;
determining a size of a three-dimensional area of the three-dimensional model based on the one or more fiducial markers of the object configured to indicate the pre-determined dimension;
identifying a first point on the one or more two-dimensional images;
identifying a second point on the one or more two-dimensional images; and
determining a three-dimensional measurement between the first point and the second point in the area based on the determined size of the three-dimensional area and the generated three-dimensional model of the area.