US 12,450,746 B2
Retinal vascular stress test for diagnosis of vision-impairing diseases
Massimo Antonio Fazio, Birmingham, AL (US); Christopher Anthony Girkin, Birmingham, AL (US); and Andrea Ramazzotti, Les Cullayes (CH)
Assigned to THE UAB RESEARCH FOUNDATION, Birmingham, AL (US)
Appl. No. 17/797,675
Filed by THE UAB RESEARCH FOUNDATION, Birmingham, AL (US)
PCT Filed Feb. 5, 2021, PCT No. PCT/US2021/016797
§ 371(c)(1), (2) Date Aug. 4, 2022,
PCT Pub. No. WO2021/158903, PCT Pub. Date Aug. 12, 2021.
Claims priority of provisional application 62/971,910, filed on Feb. 7, 2020.
Prior Publication US 2023/0154004 A1, May 18, 2023
Int. Cl. G06T 7/00 (2017.01); A61B 3/12 (2006.01); G06T 7/33 (2017.01); G16H 30/40 (2018.01); G16H 50/50 (2018.01)
CPC G06T 7/0016 (2013.01) [A61B 3/1233 (2013.01); G06T 7/0012 (2013.01); G06T 7/33 (2017.01); G16H 30/40 (2018.01); G16H 50/50 (2018.01); G06T 2207/10101 (2013.01); G06T 2207/30041 (2013.01); G06T 2207/30104 (2013.01)] 20 Claims
OG exemplary drawing
 
1. A method, comprising:
capturing imaging data of a retina of an eye, wherein the imaging data includes first topographical data and second topographical data, wherein the second topographical data is captured subsequent the first topographical data, wherein the imaging data is associated with an imaged volume of the eye, and wherein the second topographical data is captured at a different intraocular pressure than the first topographical data;
identifying vasculature and nerve fibers using the imaging data, wherein identifying vasculature and nerve fibers includes comparing the first topographical data to the second topographical data;
generating a connectivity model of vasculature of the retina using the identified vasculature and nerve fibers;
calculating mechanical deformation data of at least a portion of the imaged volume of the eye based on the difference in intraocular pressure between the first topographical data and the second topographical data, wherein the mechanical deformation data quantifies a degree of mechanical deformation within the imaged volume of the eye, corresponding to changes in volumetric displacement and strain field caused by the difference in the intraocular pressure;
generating a conformal sector based on trajectory data for the nerve fibers;
obtaining visual field data related to function of the nerve fibers;
obtaining thickness data for a retina nerve fiber layer comprising the nerve fibers;
colocalizing the connectivity model, the mechanical deformation data, the conformal sector, the visual field data, and the thickness data for the retina nerve fiber layer; and
predicting retinal blood perfusion and/or nerve function based on the colocalized connectivity model, the mechanical deformation data, the conformal sector, the visual field data, and the thickness data for the retina nerve fiber layer.