Automated segmentation of RPE layer for the detection of age macular degeneration using OCT images
| Autor: | Aneeqa Ahmed, Samra Naz, Shoab A. Khan, M. Usman Akram |
|---|---|
| Rok vydání: | 2016 |
| Předmět: |
medicine.medical_specialty
genetic structures Computer science Nerve fiber layer Drusen 030218 nuclear medicine & medical imaging 03 medical and health sciences chemistry.chemical_compound 0302 clinical medicine Optical coherence tomography Ophthalmology medicine Computer vision Retina Retinal pigment epithelium Pixel medicine.diagnostic_test business.industry Retinal Image segmentation Macular degeneration medicine.disease eye diseases medicine.anatomical_structure chemistry 030221 ophthalmology & optometry sense organs Artificial intelligence business |
| Zdroj: | IPTA |
| Popis: | Macular retinal anomaly known as Drusen present in the eyes infected with Age Macular Degeneration (AMD) can be visualized with optical coherence tomography (OCT). This paper presents an algorithm to automatically segment retinal pigment epithelium (RPE) layer of an eye using spectral domain optical coherence tomography (SD-OCT) images for the detection of drusen. Segmentation framework is based on intensity level thresholding of high reflective pixels around retinal nerve fiber layer (RNFL). A dataset of 50 different B-scan is taken with having 25 AMD and 25 heathy images. Bottom layer of the retina known as RPE layer is extracted and analyzed by fitting a second order polynomial curve. The difference between both the curvess decide the class of the image. Results show an accurate detection of drusen with 96 % accuracy. |
| Databáze: | OpenAIRE |
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