Systems and methods for retinal layer segmentation in OCT imaging and OCT angiography

Patent metadata

Field	Value
Publication number	US-10123689-B2
Application number	US-201615333778-A
Country	US
Kind code	B2
Filing date	Oct 25, 2016
Priority date	Oct 28, 2015
Publication date	Nov 13, 2018
Grant date	Nov 13, 2018

Abstract

Disclosed herein are methods and systems for segmenting, visualizing, and quantifying the layered structure of retina in optical coherence tomography datasets. The disclosed methods have particular application to OCT angiography data, where specific retina layers have distinct vascular structures and characteristics that can be altered in various pathological conditions of the eye.

First claim

The invention claimed is:

1. A method of editing a retina layer boundary segmentation comprising:
receiving a set of structural OCT B-scans;
segmenting the retinal layer boundaries of the structural OCT B-scans by the steps of:
a) receiving a set of relative retinal layer thickness data;
b) enhancing intensity transition in the structural OCT B-scan images;
c) selectin a first B-scan image from the set of structural OCT B-scans;
d) selecting a first retinal layer boundary in the first B-scan image;
e) applying a directional graph search to the first retinal layer boundary, thereby generating a first segmented retinal layer boundary;
f) selecting a second retinal layer boundary on the first B-scan image;
g) constraining a search region of the second retinal layer boundary using the first segmented retinal layer boundary and the set of relative retinal layer thickness data; and
h) applying a directional graph search to the second retinal layer boundary; thereby generating a second segmented retinal layer boundary; thereby generating a set of segmented retinal layer boundaries;

reviewing the set of segmented retinal layer boundaries;
selecting a segmented retinal layer boundary in a B-scan;
editing the segmented retinal layer boundary in a B-scan using an intelligent scissors tool based on directed graph search, or a portion thereof, thereby creating a new retinal layer boundary segmentation; and
propagating the new retinal layer boundary segmentation to adjacent structural OCT B-scans.

2. A method of analyzing OCT angiography data comprising:
receiving a set of structural OCT B-scans;
receiving a set of OCT angiography B-scans;
segmenting the retina layers in the structural OCT B-scans, by the steps of:
a) receiving a set of relative retinal layer thickness data;
b) enhancing intensity transition in the structural OCT B-scan images;
c) selecting a first B-scan image from the set of structural OCT B-scans;
d) selecting a first retinal layer boundary in the first B-scan image;
e) applying a directional graph search to the first retinal layer boundary, thereby generating a first segmented retinal layer boundary;
f) selecting a second retinal layer boundary on the first B-scan image;
g) constraining a search region of the second retinal layer boundary using the first segmented retinal layer boundary and the set of relative retinal layer thickness data; and

applying a directional graph search to the second retinal layer boundary; thereby generating a second segmented retinal layer boundary: thereby generating a set of segmented retina layer boundaries;
defining a retinal layer slab, wherein the upper and lower extents of the retinal layer slab are defined using the segmented retina layer boundaries;
color-coding flow data from the set of OCT angiography B-scans based on the retinal layer slab in which it resides;
merging the color-coded flow data from the set of OCT angiography B-scans with structural OCT data from the set of structural OCT B-scans, thereby generating composite OCT data;
presenting composite OCT data.

3. The method of claim 2 wherein presenting the composite OCT data comprises generation of a color-coded 2D en face angiogram.

Assignees

• Jia Yali
• Huang David
• Zhang Miao
• Univ Oregon Health & Science

Inventors

• Jia Yali
• Huang David
• Zhang Miao

Classifications

• G06T7/181

  involving edge growing; involving edge linking · CPC title

• G06T7/162

  involving graph-based methods · CPC title

• A61B3/1005 Primary

  for measuring distances inside the eye, e.g. thickness of the cornea (A61B3/11 takes precedence) · CPC title

• A61B3/102

  for optical coherence tomography [OCT] · CPC title

• G06T2207/10101

  Optical tomography; Optical coherence tomography [OCT] · CPC title