Macular lesions extraction using active appearance method

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27240%2F16%3A86099587" target="_blank" >RIV/61989100:27240/16:86099587 - isvavai.cz</a>

Výsledek na webu

<a href="http://dx.doi.org/10.1007/978-3-319-29236-6_42" target="_blank" >http://dx.doi.org/10.1007/978-3-319-29236-6_42</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1007/978-3-319-29236-6_42" target="_blank" >10.1007/978-3-319-29236-6_42</a>

Jazyk výsledku

angličtina

Název v původním jazyce

Macular lesions extraction using active appearance method

Popis výsledku v původním jazyce

Age-related macular degeneration (ARMD) is one of the most widespread diseases of the eye fundus and is the most common cause of vision loss for those over the age of 60. There are several ways to diagnose ARMD. One of them is the Fundus Autofluorescence (FAF) method, and is one of the modalities of Heidelberg Engineering diagnostic devices. The BluePeakTM modality utilizes the fluorescence of lipofuscin (a pigment in the affected cells) to display the extent of the disease's progression. In clinical practice is often quite complicated to perform assessment of precise parameters macular lesions. The main aim of the article is design of the method which is able to locate and consequently perform extraction of these lesions. The algorithm body is composed of several essential parts: image preprocessing, filtration of interested area and segmentation procedure. In the first step, extraction area of interest is performed. Filtration process should suppress adjacent structures. Final step is segmentation procedure. The main advantage is that the whole process is fully automatic. The result of segmentation is closed curve which is formed iteratively to edges of analyzed object. The resulting curve reflects geometrical parameters of analyzed structure. On the base this fact is quite easy to calculate perimeter and area of analyzed area.

Název v anglickém jazyce

Macular lesions extraction using active appearance method

Popis výsledku anglicky

Age-related macular degeneration (ARMD) is one of the most widespread diseases of the eye fundus and is the most common cause of vision loss for those over the age of 60. There are several ways to diagnose ARMD. One of them is the Fundus Autofluorescence (FAF) method, and is one of the modalities of Heidelberg Engineering diagnostic devices. The BluePeakTM modality utilizes the fluorescence of lipofuscin (a pigment in the affected cells) to display the extent of the disease's progression. In clinical practice is often quite complicated to perform assessment of precise parameters macular lesions. The main aim of the article is design of the method which is able to locate and consequently perform extraction of these lesions. The algorithm body is composed of several essential parts: image preprocessing, filtration of interested area and segmentation procedure. In the first step, extraction area of interest is performed. Filtration process should suppress adjacent structures. Final step is segmentation procedure. The main advantage is that the whole process is fully automatic. The result of segmentation is closed curve which is formed iteratively to edges of analyzed object. The resulting curve reflects geometrical parameters of analyzed structure. On the base this fact is quite easy to calculate perimeter and area of analyzed area.

Druh

D - Stať ve sborníku

CEP obor

JC - Počítačový hardware a software

OECD FORD obor

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Projekt

<a href="/cs/project/TG01010137" target="_blank" >TG01010137: PRE SEED fond VŠB-Technické univerzity Ostrava</a><br>

Návaznosti

P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Rok uplatnění

2016

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název statě ve sborníku

Lecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering, LNICST. Volume 165

ISBN

978-3-319-29235-9

ISSN

1867-8211

e-ISSN

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Počet stran výsledku

10

Strana od-do

438-447

Název nakladatele

Springer Verlag

Místo vydání

London

Místo konání akce

Vung Tau

Datum konání akce

26. 11. 2015

Typ akce podle státní příslušnosti

WRD - Celosvětová akce

Kód UT WoS článku

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