US 12,223,646 B2
Automated selection of ultra-widefield angiography images
Justis P. Ehlers, Cleveland, OH (US); Duriye Damla Sevgi, Cleveland, OH (US); and Sunil K. Srivastava, Cleveland, OH (US)
Assigned to THE CLEVELAND CLINIC FOUNDATION, Cleveland, OH (US)
Filed by THE CLEVELAND CLINIC FOUNDATION, Cleveland, OH (US)
Filed on May 2, 2022, as Appl. No. 17/734,895.
Claims priority of provisional application 63/182,416, filed on Apr. 30, 2021.
Prior Publication US 2022/0351377 A1, Nov. 3, 2022
Int. Cl. G06T 7/11 (2017.01); G06T 7/00 (2017.01)
CPC G06T 7/0012 (2013.01) [G06T 7/11 (2017.01); G06T 2207/20081 (2013.01); G06T 2207/20084 (2013.01); G06T 2207/30041 (2013.01); G06T 2207/30101 (2013.01); G06T 2207/30168 (2013.01)] 20 Claims
OG exemplary drawing
 
1. A system for automated selection of ultra-widefield angiographic (UWFA) images, the system comprising:
a processor; and
a non-transitory computer readable medium storing executable instructions, the executable instructions comprising:
an imager interface that receives a first set of images representing an early phase of a UWFA image acquisition and a second set of images representing a late phase of the UWFA image acquisition;
a segmentation component that segments each of the first set of images and the second set of images to provide a vascular structure map for each of the first set of images and the second set of images;
an image evaluation component that assigns an image quality metric to each of the first set of images and the second set of images from the vascular structure map associated with each image; and
an image selector that selects an image of the first set of images having an extreme value for the image quality metric across the first set of images and an image of the second set of images having an extreme value for the image quality metric across the second set of images.