Systems and methods for determining tissue inflammation levels of the eye from blood vessel characteristics
AssigneeTufts Medical Center, Inc.
InventorsPedram Hamrah, William Warr Binotti, Ricardo Menon Nose
Life of this patent
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Abstract
Disclosed are methods, systems, media, apparatus, devices, and other implementations, including a method that includes determining blood flow characteristics at an ocular surface of an eye of a patient, determining characteristics of blood vessels at the ocular surface of the eye based on the determined blood flow characteristics, and deriving one or more ocular redness grading scales indicative of inflammation levels of the eye of the patient based on the determined characteristics of the blood vessels at the ocular surface of the eye.
Claims23
A method comprising:
- determining blood flow characteristics at an ocular surface of an eye of a patient, including
- performing anterior segment (AS) optical coherence tomography angiography (OCTA) imaging for the ocular surface to detect blood flow at the ocular surface of the eye, obtaining blood flow image data for multiple layers of the ocular surface, the multiple layers comprise one or more of cornea, limbus conjunctiva, episcleral, and sclera;
- determining characteristics of blood vessels at the ocular surface of the eye based on the blood flow characteristics, including
- separating the blood flow image data into separate blood flow image data for one or more of the multiple layers, and
- determining one or more of vessel density of the blood vessels at the ocular surface, diameters attributes of at least some of the blood vessels, and vasculature branching pattern attributes for the blood vessels measured by fractal dimension;
- and
- deriving one or more ocular redness grading scales indicative of inflammation levels of the eye of the patient based on the characteristics of the blood vessels at the ocular surface of the eye.
A system to determine inflammation level of an eye of a patient, the system comprising:
- an imaging apparatus to determine blood flow characteristics at an ocular surface of the eye of the patient, comprising:
- an anterior segment (AS) optical coherence tomography angiography (OCTA) imaging apparatus;
- and
- a controller configured to:
- perform AS-OCTA imaging for the ocular surface to detect blood flow at the ocular surface of the eye;
- determine characteristics of blood vessels at the ocular surface of the eye based on the determined blood flow characteristics;
- determine one or more of vessel density of the blood vessels at the ocular surface, diameter attributes of at least some of the blood vessels, and vasculature branching pattern attributes for the blood vessels measured by fractal dimension;
- and
- derive one or more ocular redness grading scales indicative of inflammation levels of the eye of the patient based on the determined characteristics of the blood vessels at the ocular surface of the eye.
Non-transitory computer readable media comprising computer instructions, executable on one or more processor-based devices, to:
- determine blood flow characteristics at an ocular surface of an eye of a patient, including
- performing anterior segment (AS) optical coherence tomography angiography (OCTA) imaging for the ocular surface to detect blood flow at the ocular surface of the eye, obtaining blood flow image data for multiple layers of the ocular surface, the multiple layers comprise one or more of cornea, limbus, conjunctiva, episcleral, and sclera;
- determine characteristics of blood vessels at the ocular surface of the eye based on the blood flow characteristics, including
- separating the blood flow image data into separate blood flow image data for one or more of the multiple layers, and
- determining one or more of vessel density of the blood vessels at the ocular surface, diameters attributes of at least some of the blood vessels, and vasculature branching pattern attributes for the blood vessels measured by fractal dimension;
- and
- derive one or more ocular redness grading scales indicative of inflammation levels of the eye of the patient based on the characteristics of the blood vessels at the ocular surface of the eye.
Dependencies are inferred from the claim text.