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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.


Another example of AF-IR fusion results: (a)AF image, (b) IR image, (c) HVS method, (d) TV-IR method.
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fig10: Another example of AF-IR fusion results: (a)AF image, (b) IR image, (c) HVS method, (d) TV-IR method.

Mentions: This scheme is based on a method used forgray-scale video (TV) and infrared (IR) images as in [30]. The common component ofthe images is computed as the morphological intersection: (8)f∩g = Min{f(i, j), g(i, j)}. The characteristic components f* or g* of each image remain after subtraction of thecommon component: (9)f* = f−f∩g,  g* = g−f∩g. The characteristic component can be emphasized in the fused image h by subtracting each of them from the otherimage, so that the RGB components are then defined as in [30]:(10)h = (RGB)=(f−g*g−f*0). We modified this definition in the similar way as in the HVS method to enhancethe AF zones in the fused image: (11)h = (RGB)=(f−g*fg−f*), where f represents the AF image, g represents the IR channel. For all channels,the normalization to 256 levels is performed before displaying. Theexample results of the image fusion are shown on Figures 9 and 10, where theoriginal (registered) AF and IR images are shown together with thecorresponding fusion results.


Registration and fusion of the autofluorescent and infrared retinal images.

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

Another example of AF-IR fusion results: (a)AF image, (b) IR image, (c) HVS method, (d) TV-IR method.
© Copyright Policy - open-access
Related In: Results  -  Collection

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

fig10: Another example of AF-IR fusion results: (a)AF image, (b) IR image, (c) HVS method, (d) TV-IR method.
Mentions: This scheme is based on a method used forgray-scale video (TV) and infrared (IR) images as in [30]. The common component ofthe images is computed as the morphological intersection: (8)f∩g = Min{f(i, j), g(i, j)}. The characteristic components f* or g* of each image remain after subtraction of thecommon component: (9)f* = f−f∩g,  g* = g−f∩g. The characteristic component can be emphasized in the fused image h by subtracting each of them from the otherimage, so that the RGB components are then defined as in [30]:(10)h = (RGB)=(f−g*g−f*0). We modified this definition in the similar way as in the HVS method to enhancethe AF zones in the fused image: (11)h = (RGB)=(f−g*fg−f*), where f represents the AF image, g represents the IR channel. For all channels,the normalization to 256 levels is performed before displaying. Theexample results of the image fusion are shown on Figures 9 and 10, where theoriginal (registered) AF and IR images are shown together with thecorresponding fusion results.

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.