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| Main Author: | |
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| Format: | Artículo científico |
| Language: | en |
| Published: |
Universidad Nacional de Colombia
2016
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| Online Access: | https://www.redalyc.org/articulo.oa?id=49648868007 https://www.redalyc.org/journal/496/49648868007/ https://www.redalyc.org/journal/496/49648868007/html/ https://www.redalyc.org/journal/496/49648868007/49648868007.epub https://www.redalyc.org/journal/496/49648868007/movil |
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Table of Contents:
- Automated detection of photoreceptors in in-vivo retinal images Piero Rangel-Fonseca Armando Gomez- Vieyra Daniel Malacara-Hernandez Mario C. Wilson Ingeniería Photoreceptor adaptive optics image processing The inclusion of adaptive optics (AO) into ophthalmic imaging technology has allowed the study of histological elements of re tina in-vivo , such as photoreceptors, retinal pigment epithelium (RPE) cells, retinal nerve fiber layer and ganglion cells. The high -resolution images obtained with ophthalmic AO imaging devices are rich with information that is difficult and/or tedious to quantify using manual methods. Thus, robust, automated analysis tools that can provide reproducible quantitative information about the tissue under examination are required. Automated algorithms have been developed to detect the position of individual photoreceptor cells and characterize the RPE mosaic. In this work, an algorithm is presented for the detection of photoreceptors. The algorithm has been tested in synthetic and real images acquired with an Adaptive Optics Scanning Laser Ophthalmoscope (AOSLO) and compared with the one developed by Li and Roorda. It is shown that both algorithms have similar pe rformance on synthetic and c ones -only images, but the one here proposed shows more accurate measurements when it is used for cones -rods detection in real images. 2016 artículo científico 0012-7353 https://www.redalyc.org/articulo.oa?id=49648868007 https://www.redalyc.org/journal/496/49648868007/ https://www.redalyc.org/journal/496/49648868007/html/ https://www.redalyc.org/journal/496/49648868007/49648868007.epub https://www.redalyc.org/journal/496/49648868007/movil en http://www.redalyc.org/revista.oa?id=496 Dyna application/pdf Universidad Nacional de Colombia Dyna (Colombia) Num.199 Vol.83