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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 fusion scheme.
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Related In: Results  -  Collection


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fig8: AF-IR fusion scheme.

Mentions: This approachis similar to the method used in [20], where the fusion was used for color fundus andangiography images. This scheme arises from the biologically motivatedpixel-wise fusion methods [33] (HVS stands for the human visual system). For ourAF-IR fusion application, the scheme is shown on Figure 8. First, the imagenormalization to 256 levels is performed. Consecutively, the redchannel is computed as a difference between IR and AF images, which enhances theinformation present in IR image. The blue channel is the negative of theprevious combination. The green channel is the AF image itself, because thezones with higher autofluorescency play an important role in early diagnosis ofglaucoma and the fusion is thus performed with visually emphasized AFcomponents.


Registration and fusion of the autofluorescent and infrared retinal images.

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

AF-IR fusion scheme.
© Copyright Policy - open-access
Related In: Results  -  Collection

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

fig8: AF-IR fusion scheme.
Mentions: This approachis similar to the method used in [20], where the fusion was used for color fundus andangiography images. This scheme arises from the biologically motivatedpixel-wise fusion methods [33] (HVS stands for the human visual system). For ourAF-IR fusion application, the scheme is shown on Figure 8. First, the imagenormalization to 256 levels is performed. Consecutively, the redchannel is computed as a difference between IR and AF images, which enhances theinformation present in IR image. The blue channel is the negative of theprevious combination. The green channel is the AF image itself, because thezones with higher autofluorescency play an important role in early diagnosis ofglaucoma and the fusion is thus performed with visually emphasized AFcomponents.

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.