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Fusion based analysis of ophthalmologic image data

Jiří Jan; Radim Kolář; Libor Kubečka; Jan Odstrčilík; Jiří Gazárek

Kybernetika (2011)

  • Volume: 47, Issue: 3, page 455-481
  • ISSN: 0023-5954

Abstract

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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.

How to cite

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Jan, Jiří, et al. "Fusion based analysis of ophthalmologic image data." Kybernetika 47.3 (2011): 455-481. <http://eudml.org/doc/197093>.

@article{Jan2011,
abstract = {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.},
author = {Jan, Jiří, Kolář, Radim, Kubečka, Libor, Odstrčilík, Jan, Gazárek, Jiří},
journal = {Kybernetika},
keywords = {image fusion; image analysis; 2D and 3D image registration; ophthalmology; retina imaging; subtractive angiography; computed tomography; illumination correction; image averaging; spatial transforms; image fusion; image analysis; 2D and 3D image registration; ophthalmology; retina imaging; subtractive angiography; computed tomography; illumination correction; image averaging; spatial transforms},
language = {eng},
number = {3},
pages = {455-481},
publisher = {Institute of Information Theory and Automation AS CR},
title = {Fusion based analysis of ophthalmologic image data},
url = {http://eudml.org/doc/197093},
volume = {47},
year = {2011},
}

TY - JOUR
AU - Jan, Jiří
AU - Kolář, Radim
AU - Kubečka, Libor
AU - Odstrčilík, Jan
AU - Gazárek, Jiří
TI - Fusion based analysis of ophthalmologic image data
JO - Kybernetika
PY - 2011
PB - Institute of Information Theory and Automation AS CR
VL - 47
IS - 3
SP - 455
EP - 481
AB - 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.
LA - eng
KW - image fusion; image analysis; 2D and 3D image registration; ophthalmology; retina imaging; subtractive angiography; computed tomography; illumination correction; image averaging; spatial transforms; image fusion; image analysis; 2D and 3D image registration; ophthalmology; retina imaging; subtractive angiography; computed tomography; illumination correction; image averaging; spatial transforms
UR - http://eudml.org/doc/197093
ER -

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