US 12,478,251 B2
Glaucoma progression prediction system and method
Kyung Euy Hong, Seoul (KR); Chan Kee Park, Seoul (KR); Hae Young Park, Seoul (KR); Kyoung In Jung, Seoul (KR); Da Young Shin, Seongnam-si (KR); and Sung-Ah Kim, Seoul (KR)
Assigned to THE CATHOLIC UNIVERSITY OF KOREA INDUSTRY-ACADEMIC COOPERATION FOUNDATION, Seoul (KR)
Appl. No. 18/577,748
Filed by THE CATHOLIC UNIVERSITY OF KOREA INDUSTRY-ACADEMIC COOPERATION FOUNDATION, Seoul (KR)
PCT Filed Jul. 6, 2022, PCT No. PCT/KR2022/009801
§ 371(c)(1), (2) Date Jan. 9, 2024,
PCT Pub. No. WO2023/282642, PCT Pub. Date Jan. 12, 2023.
Claims priority of application No. 10-2021-0090305 (KR), filed on Jul. 9, 2021.
Prior Publication US 2024/0315555 A1, Sep. 26, 2024
Int. Cl. A61B 3/12 (2006.01); A61B 3/00 (2006.01); A61B 3/10 (2006.01)
CPC A61B 3/1233 (2013.01) [A61B 3/0025 (2013.01); A61B 3/102 (2013.01); A61B 3/1241 (2013.01)] 8 Claims
OG exemplary drawing
 
1. A glaucoma progression prediction system comprising:
an examination module configured to derive an examination image captured of a deep blood vessel of an eye;
a measurement module configured to measure a deep blood vessel density in the examination image;
an analysis module configured to derive an amount of changes in deep blood vessel densities measured in a plurality of examination images derived at regular intervals; and
a determination module configured to determine a progression of glaucoma according to the amount of the changes in the deep blood vessel densities,
wherein the examination module is configured to derive an examination image of a parapapillary area or macular area of the eye.