Volume-based layer-independent framework for detection of retinal pathology
AssigneeOregon Health & Science University
InventorsShaohua Pi, Yali Jia
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AssigneeOregon Health & Science University
InventorsShaohua Pi, Yali Jia
Estimating the term…
Disclosed herein is a method for detecting retinal pathologies in three dimensions using structural and angiographic OCT. The method in accordance with the present disclosure may operate by detecting deviations in reflectance and perfusion from a depth-normalized standard retina created by merging and averaging scans from healthy subjects. In one example, the deviations from the standard retina highlight key pathologic features, while depth-normalization obviates the need to segment retinal layers. Additionally, a composite pathology index is disclosed herein that measures average deviation from the standard retina. The present method is amenable to automation and may be implemented in an integrated system and/or provided in the form of software encoded on a computer-readable medium.
A computer-based method for detecting retinal pathology, the method comprising:
A computer-based method for detecting retinal pathology, the method comprising:
One or more non-transitory, computer-readable media (NTCRM) having instructions, stored thereon, that when executed by one or more processors of an optical coherence tomography (OCT) system cause the OCT system to:
Dependencies are inferred from the claim text.