US 10,896,490 B2Granted

Systems and methods for reflectance-based projection-resolved optical coherence tomography angiography

OwnerYali Jia, Jie Wanginventors

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Abstract

Embodiments provide systems and methods associated with a reflectance-based projection-resolved (rbPR) optical coherence tomography angiography (OCTA) algorithm which uses optical coherence tomography (OCT) reflectance to enhance the flow signal and suppress the projection artifacts in 3-dimensional OCTA. rbPR improves the vascular connectivity and improved the discrimination of the deeper plexus angiograms in healthy eyes, compared to prior PR-OCTA method. Additionally, rbPR removes flow projection artifacts more completely from the outer retinal slab in the eyes with age-related macular degeneration, and preserves vascular integrity of the intermediate and deep capillary plexuses in the eyes with diabetic retinopathy. Additionally, the rbPR method improves the resolution of the choriocapillaris and demonstrates details comparable to scanning electron microscopy.

Claims16

Dependent claims

A method for suppressing shadowgraphic flow projection artifacts in an optical coherence tomography (OCT) angiography dataset, comprising:

obtaining a structural OCT dataset;
separating the structural OCT dataset into multiple clusters according to respective reflectance values;
generating contrast enhanced C-scans for individual clusters of the multiple clusters to obtain a contrast enhanced dataset according to:
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suppressing projection artifacts in an OCT angiography (OCTA) dataset based on the contrast enhanced dataset to obtain a projection resolved OCTA dataset;
and
generating an image based on the projection resolved OCTA dataset.

147 more elements

A system for generating reflectance-based projection-resolved (rbPR) optical coherence tomography (OCT) angiography data, comprising:

an OCT system configured to acquire a structural OCT dataset of a sample;
a logic subsystem;
and
a data holding subsystem comprising machine-readable instructions stored thereon that are executable by the logic subsystem to:
separate the structural OCT dataset into multiple clusters according to respective reflectance values;
generate contrast enhanced C-scans for individual clusters of the multiple clusters to obtain a contrast enhanced dataset according to:
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where le is the contrast enhanced C-scan, B1 and B2 are reflectance values of boundary points between the multiple clusters, Hc(n) is a corresponding C-scan of the structural OCT dataset, NL, NM and NH are numbers of pixels belonging to respective clusters of the multiple clusters, n is a gray value of reflectance, and L is a gray level;
suppress projection artifacts in an OCT angiography (OCTA) dataset based on the contrast enhanced dataset to obtain a projection resolved OCTA dataset;
and
generate an image based on the projection resolved OCTA dataset.

150 more elements

Dependencies are inferred from the claim text.

Facts

Application: 15/852,521Filed 22 Dec 2017 · us provisional application
Priority: 23 Dec 2016
Published: US 2018/0182082 A128 Jun 2018
Granted: 19 Jan 2021
Term ends: Not estimatedThe source records don’t support an estimate.

Classification11 codes

G06T 5/92
Dynamic range modification of images or parts thereof: based on global image properties
A61B 3/102
Objective types, i.e. instruments for examining the eyes independent of the patients' perceptions or reactions: for optical coherence tomography [OCT]
A61B 5/0066
Arrangements for scanning: optical coherence imaging
A61B 5/7203
Signal processing specially adapted for physiological signals or for diagnostic purposes: for noise prevention, reduction or removal