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Fully Automated Robust System to Detect Retinal Edema, Central Serous Chorioretinopathy, and Age Related Macular Degeneration from Optical Coherence Tomography Images

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ABSTRACT

Maculopathy is the excessive damage to macula that leads to blindness. It mostly occurs due to retinal edema (RE), central serous chorioretinopathy (CSCR), or age related macular degeneration (ARMD). Optical coherence tomography (OCT) imaging is the latest eye testing technique that can detect these syndromes in early stages. Many researchers have used OCT images to detect retinal abnormalities. However, to the best of our knowledge, no research that presents a fully automated system to detect all of these macular syndromes is reported. This paper presents the world's first ever decision support system to automatically detect RE, CSCR, and ARMD retinal pathologies and healthy retina from OCT images. The automated disease diagnosis in our proposed system is based on multilayered support vector machines (SVM) classifier trained on 40 labeled OCT scans (10 healthy, 10 RE, 10 CSCR, and 10 ARMD). After training, SVM forms an accurate decision about the type of retinal pathology using 9 extracted features. We have tested our proposed system on 2819 OCT scans (1437 healthy, 640 RE, and 742 CSCR) of 502 patients from two different datasets and our proposed system correctly diagnosed 2817/2819 subjects with the accuracy, sensitivity, and specificity ratings of 99.92%, 100%, and 99.86%, respectively.

No MeSH data available.


Related in: MedlinePlus

Clinical macular analysis using OCT images: (a) healthy OCT scan, (b) CSCR affected OCT scan, (c) OCT scan with RE symptoms, and (d) OCT scan with ARMD symptoms (drusen).
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fig2: Clinical macular analysis using OCT images: (a) healthy OCT scan, (b) CSCR affected OCT scan, (c) OCT scan with RE symptoms, and (d) OCT scan with ARMD symptoms (drusen).

Mentions: OCT imaging is the primary eye testing technique that is being used nowadays to detect early symptoms of retinal pathology. The major benefit of OCT over other eye testing techniques is that it can give an objective and accurate visualization of early retinal syndromes [7]. OCT imaging works on the principle of Michelson interferometer where a beam splitter decomposes low coherence light source into two parts. One part is reflected by the reference mirror and the other part goes to the candidate eye. Both parts are then merged together and form an axial scan (A-scan) [8]. The combination of multiple A-scans along the horizontal axis produces a brightness scan (B-scan). Figure 2 shows an OCT B-scan which depicts each of the retinal syndromes along with its distinctive features.


Fully Automated Robust System to Detect Retinal Edema, Central Serous Chorioretinopathy, and Age Related Macular Degeneration from Optical Coherence Tomography Images
Clinical macular analysis using OCT images: (a) healthy OCT scan, (b) CSCR affected OCT scan, (c) OCT scan with RE symptoms, and (d) OCT scan with ARMD symptoms (drusen).
© Copyright Policy
Related In: Results  -  Collection

License
Show All Figures
getmorefigures.php?uid=PMC5382397&req=5

fig2: Clinical macular analysis using OCT images: (a) healthy OCT scan, (b) CSCR affected OCT scan, (c) OCT scan with RE symptoms, and (d) OCT scan with ARMD symptoms (drusen).
Mentions: OCT imaging is the primary eye testing technique that is being used nowadays to detect early symptoms of retinal pathology. The major benefit of OCT over other eye testing techniques is that it can give an objective and accurate visualization of early retinal syndromes [7]. OCT imaging works on the principle of Michelson interferometer where a beam splitter decomposes low coherence light source into two parts. One part is reflected by the reference mirror and the other part goes to the candidate eye. Both parts are then merged together and form an axial scan (A-scan) [8]. The combination of multiple A-scans along the horizontal axis produces a brightness scan (B-scan). Figure 2 shows an OCT B-scan which depicts each of the retinal syndromes along with its distinctive features.

View Article: PubMed Central - PubMed

ABSTRACT

Maculopathy is the excessive damage to macula that leads to blindness. It mostly occurs due to retinal edema (RE), central serous chorioretinopathy (CSCR), or age related macular degeneration (ARMD). Optical coherence tomography (OCT) imaging is the latest eye testing technique that can detect these syndromes in early stages. Many researchers have used OCT images to detect retinal abnormalities. However, to the best of our knowledge, no research that presents a fully automated system to detect all of these macular syndromes is reported. This paper presents the world's first ever decision support system to automatically detect RE, CSCR, and ARMD retinal pathologies and healthy retina from OCT images. The automated disease diagnosis in our proposed system is based on multilayered support vector machines (SVM) classifier trained on 40 labeled OCT scans (10 healthy, 10 RE, 10 CSCR, and 10 ARMD). After training, SVM forms an accurate decision about the type of retinal pathology using 9 extracted features. We have tested our proposed system on 2819 OCT scans (1437 healthy, 640 RE, and 742 CSCR) of 502 patients from two different datasets and our proposed system correctly diagnosed 2817/2819 subjects with the accuracy, sensitivity, and specificity ratings of 99.92%, 100%, and 99.86%, respectively.

No MeSH data available.


Related in: MedlinePlus