Fusion based analysis of ophthalmologic image data

Title:

Fusion based analysis of ophthalmologic image data

Creator:

Jan, Jiří, Kolář, Radim, Kubečka, Libor, Odstrčilík, Jan, and Gazárek, Jiří

Identifier:

https://cdk.lib.cas.cz/client/handle/uuid:c8fd955c-67bb-4842-ab2d-a3cff63cbe35
uuid:c8fd955c-67bb-4842-ab2d-a3cff63cbe35

Subject:

image fusion, image analysis, 2D and 3D image registration, ophthalmology, retina imaging, substractive angiography, computed tomography, illumination correction, image averaging, and spatial transforms

Type:

model:article and TEXT

Format:

bez média and svazek

Description:

The paper presents an overview of image analysis activities of the Brno DAR group in the medical application area of retinal imaging. Particularly, illumination correction and SNR enhancement by registered averaging as preprocessing steps are briefly described; further mono- and multimodal registration methods developed for specific types of ophthalmological images, and methods for segmentation of optical disc, retinal vessel tree and autofluorescence areas are presented. Finally, the designed methods for neural fibre layer detection and evaluation on retinal images, utilising different combined texture analysis approaches and several types of classifiers, are shown. The results in all the areas are shortly commented on at the respective sections. In order to emphasise methodological aspects, the methods and results are ordered according to consequential phases of processing rather then divided according to individual medical applications.

Language:

English

Rights:

http://creativecommons.org/publicdomain/mark/1.0/
policy:public

Coverage:

[455]-481

Source:

Kybernetika | 2011 Volume:47 | Number:3

Harvested from:

CDK

Metadata only:

false