COMPUTER-AIDED DIAGNOSIS OF RETINAL PATHOLOGIES USING FRONTAL EN-FACE VIEWS OF OPTICAL COHERENCE TOMOGRAPHY
A system and methods of computer-aided diagnosis for ophthalmology are described that includes acquiring OCT data, determining an RPE fit from the OCT data, and displaying en face images based on the RPE fit.
1 . A method of computer-aided diagnosis for ophthalmology, comprising:
acquiring an OCT dataset;
obtaining a segmented layer of interest from the OCT dataset;
generating a set of frontal en-face images based on the segmented layer of interest; and
displaying the set of frontal en-face images,
wherein the frontal en-face images are suitable for qualitative and quantitative assessment of a retina.
2 . The method of claim 1 , further including processing the OCT dataset for noise suppression.
3 . The method of claim 1 , further including processing the OCT dataset for contrast enhancement.
4 . The method of claim 1 , wherein obtaining a segmented layer of interest includes determining an RPE fit, an ILM layer, or an RPE layer.
5 . The method of claim 1 , wherein the qualitative assessment includes structural and morphological assessment on at least one area of interests.
6 . The method of claim 5 , wherein the structural assessment includes computation of metrics, including at least one of a set of metrics consisting of intensity, homogeneity, boundary thickness, smoothness, connectedness of the area of interest.
7 . The method of claim 5 , wherein the morphological assessment includes computation of metrics, including one of shape, size, and regularity of the area of interest.
8 . The method of claim 7 , wherein the area of interest includes a retina, a choroid, an interface of vitreous-retina, a retina-choroid, and a choroid-sclera.
9 . The method of claim 7 , wherein the morphological assessment includes examination of the shape and dimensions of retina and choroid, as well as the interfaces of vitreous-retina, retina-choroid, and choroid-sclera.
10 . The method of claim 5 , wherein RPE structure and morphology provide for early detection of macular diseases.
11 . The method of claim 10 , wherein macular diseases includes drusen, geographic atrophy, and pigment epithelium detachments.
12 . The method of claim 8 , wherein choroidal vascular changes provide detection of choroidal melanomas.
13 . The method of claim 8 , wherein choroidal layer thickness and volume provide detection of choroidal neovascularization and age related macular degeneration.
14 . The method of claim 1 , wherein the set of en-face images includes a plurality of images based on the segmented layer of interest and a B-scan image and displaying the set of en-face images includes simultaneously displaying the set of en-face images on a single display.
15 . The method of claim 14 , wherein the set of en-face images includes a vitreo reintal interface image, an edema image, a retinal degeneration image, a choroidal image, and a cross-sectional image of a B-scan.
16 . An OCT imaging system, comprising:
an OCT imager that acquires OCT data;
a computer coupled to the OCT imager and a display, the computer executing instructions for:
obtaining an RPE fit from the OCT dataset;
generating a set of frontal en-face images based on the RPE fit; and
displaying the set of frontal en-face images
wherein the frontal en-face images are suitable for qualitative and quantitative assessment of a retina.
17 . The system of claim 16 , further including processing the OCT dataset for noise suppression.
18 . The system of claim 16 , further including processing the OCT dataset for contrast enhancement.
19 . The system of claim 16 , wherein obtaining an RPE fit from the OCT database includes determining the curvature of the RPE.
20 . The method of claim 16 , wherein the set of en-face images includes a plurality of images based on the segmented layer of interest and a B-scan image and displaying the set of en-face images includes simultaneously displaying the set of en-face images on the display.
21 . The method of claim 20 , wherein the set of en-face images includes a vitreo reintal interface image, an edema image, a retinal degeneration image, a choroidal image, and a cross-sectional image of a B-scan.