Limits...
Registration and fusion of the autofluorescent and infrared retinal images.

Kolar R, Kubecka L, Jan J - Int J Biomed Imaging (2008)

Bottom Line: This article deals with registration and fusion of multimodal opththalmologic images obtained by means of a laser scanning device (Heidelberg retina angiograph).The registration framework has been designed and tested for combination of autofluorescent and infrared images.Two fusion methods are presented and compared.

View Article: PubMed Central - PubMed

Affiliation: Department of Biomedical Engineering, Faculty of Electrical Engineering and Communication, Brno University of Technology, Kolejni 4, 61200 Brno, Czech Republic. kolarr@feec.vutbr.cz

ABSTRACT
This article deals with registration and fusion of multimodal opththalmologic images obtained by means of a laser scanning device (Heidelberg retina angiograph). The registration framework has been designed and tested for combination of autofluorescent and infrared images. This process is a necessary step for consecutive pixel level fusion and analysis utilizing information from both modalities. Two fusion methods are presented and compared.

No MeSH data available.


AF-IR registration results: (a) AF image, (b) IR image, (c) registered IR image, (d) mosaic image forevaluation.
© Copyright Policy - open-access
Related In: Results  -  Collection


getmorefigures.php?uid=PMC2570800&req=5

fig7: AF-IR registration results: (a) AF image, (b) IR image, (c) registered IR image, (d) mosaic image forevaluation.

Mentions: The CRS optimization was run 5 times in each case of 30 image pairs (randomly selected from 131 image pairs) to test the sensitivity to randominitialization. No visible changes among these particular results wereobserved. Unfortunately, verification of registration algorithms accuracy isnot trivial, because the correct geometrical alignment is not known. Ourverification was based on the visual inspection of the edge images and themosaic images. Examples of registration results are shown in Figures 6 and 7together with the edge and mosaic images, used for visual evaluation. Eachregistered pair was classified according to [25] as “poor,” “moderate,” “good,” and “excellent,” or,more precisely, as follows.


Registration and fusion of the autofluorescent and infrared retinal images.

Kolar R, Kubecka L, Jan J - Int J Biomed Imaging (2008)

AF-IR registration results: (a) AF image, (b) IR image, (c) registered IR image, (d) mosaic image forevaluation.
© Copyright Policy - open-access
Related In: Results  -  Collection

Show All Figures
getmorefigures.php?uid=PMC2570800&req=5

fig7: AF-IR registration results: (a) AF image, (b) IR image, (c) registered IR image, (d) mosaic image forevaluation.
Mentions: The CRS optimization was run 5 times in each case of 30 image pairs (randomly selected from 131 image pairs) to test the sensitivity to randominitialization. No visible changes among these particular results wereobserved. Unfortunately, verification of registration algorithms accuracy isnot trivial, because the correct geometrical alignment is not known. Ourverification was based on the visual inspection of the edge images and themosaic images. Examples of registration results are shown in Figures 6 and 7together with the edge and mosaic images, used for visual evaluation. Eachregistered pair was classified according to [25] as “poor,” “moderate,” “good,” and “excellent,” or,more precisely, as follows.

Bottom Line: This article deals with registration and fusion of multimodal opththalmologic images obtained by means of a laser scanning device (Heidelberg retina angiograph).The registration framework has been designed and tested for combination of autofluorescent and infrared images.Two fusion methods are presented and compared.

View Article: PubMed Central - PubMed

Affiliation: Department of Biomedical Engineering, Faculty of Electrical Engineering and Communication, Brno University of Technology, Kolejni 4, 61200 Brno, Czech Republic. kolarr@feec.vutbr.cz

ABSTRACT
This article deals with registration and fusion of multimodal opththalmologic images obtained by means of a laser scanning device (Heidelberg retina angiograph). The registration framework has been designed and tested for combination of autofluorescent and infrared images. This process is a necessary step for consecutive pixel level fusion and analysis utilizing information from both modalities. Two fusion methods are presented and compared.

No MeSH data available.