Počítačová podpora pro včasnou diagnostiku glaukomu založená na fůzovaných obrazech sítnice

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26220%2F06%3APU64701" target="_blank" >RIV/00216305:26220/06:PU64701 - isvavai.cz</a>

Výsledek na webu

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DOI - Digital Object Identifier

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Jazyk výsledku

angličtina

Název v původním jazyce

Computer support for early glaucoma diagnosis based on the fused retinal images

Popis výsledku v původním jazyce

The autofluorescence of the retinal tissue has a potential to be used as a feature for the early glaucoma diagnosis [3]. In this paper, a new method for detection and segmentation of the zones with a higher level of autofluorescence around the optical disc in autofluorescent images is proposed. Areas of these small isles and their distances from the optical disc (OD) can be used as diagnostic parameters. The border of the OD is determined with the help of auxiliary infrared images, because of higher contrast between OD and surrounding tissue. Consequently, the multimodal registration method of both images to be fused must be applied, relying on our previous results [14]. The region growing method with manually determined seed points is used for segmentation. We show that the semi-automatic segmentation approach offers a reasonable estimation in comparison with manually segmented regions. The estimate is well defined thus removing the undesirable inter-expert variance.

Název v anglickém jazyce

Computer support for early glaucoma diagnosis based on the fused retinal images

Popis výsledku anglicky

The autofluorescence of the retinal tissue has a potential to be used as a feature for the early glaucoma diagnosis [3]. In this paper, a new method for detection and segmentation of the zones with a higher level of autofluorescence around the optical disc in autofluorescent images is proposed. Areas of these small isles and their distances from the optical disc (OD) can be used as diagnostic parameters. The border of the OD is determined with the help of auxiliary infrared images, because of higher contrast between OD and surrounding tissue. Consequently, the multimodal registration method of both images to be fused must be applied, relying on our previous results [14]. The region growing method with manually determined seed points is used for segmentation. We show that the semi-automatic segmentation approach offers a reasonable estimation in comparison with manually segmented regions. The estimate is well defined thus removing the undesirable inter-expert variance.

Druh

J_x - Nezařazeno - Článek v odborném periodiku (Jimp, Jsc a Jost)

CEP obor

FS - Lékařská zařízení, přístroje a vybavení

OECD FORD obor

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Projekt

<a href="/cs/project/1M0572" target="_blank" >1M0572: Data, algoritmy, rozhodování</a><br>

Návaznosti

Z - Vyzkumny zamer (s odkazem do CEZ)

Rok uplatnění

2006

Kód důvěrnosti údajů

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

Název periodika

Scripta medica

ISSN

1211-3395

e-ISSN

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Svazek periodika

2006

Číslo periodika v rámci svazku

79

Stát vydavatele periodika

CZ - Česká republika

Počet stran výsledku

8

Strana od-do

269-276

Kód UT WoS článku

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EID výsledku v databázi Scopus

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