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Methods Inf Med 2004; 43(04): 336-342
DOI: 10.1055/s-0038-1633888
Original Article
Schattauer GmbH

Multimodal Retinal Image Registration for Optic Disk Segmentation

R. Chrástek
1   Chair for Pattern Recognition, Friedrich-Alexander-University, Erlangen, Germany
,
M. Skokan
2   Department of Biomedical Engineering, Faculty of Electrical Engineering and Communication, Brno University of Technology, Brno, Czech Republic
,
L. Kubečka
2   Department of Biomedical Engineering, Faculty of Electrical Engineering and Communication, Brno University of Technology, Brno, Czech Republic
,
M. Wolf
1   Chair for Pattern Recognition, Friedrich-Alexander-University, Erlangen, Germany
,
K. Donath
1   Chair for Pattern Recognition, Friedrich-Alexander-University, Erlangen, Germany
,
J. Jan
2   Department of Biomedical Engineering, Faculty of Electrical Engineering and Communication, Brno University of Technology, Brno, Czech Republic
,
G. Michelson
3   Department of Ophthalmology, Friedrich-Alexander-University Erlangen-Nuremberg, Erlangen, Germany
,
H. Niemann
1   Chair for Pattern Recognition, Friedrich-Alexander-University, Erlangen, Germany
› Institutsangaben
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Publikationsdatum:
05. Februar 2018 (online)

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Summary

Objectives: The analysis of the optic disk morphology with the means of the scanning laser tomography is an important step for glaucoma diagnosis. A method we developed for optic disk segmentation in images of the scanning laser tomograph is limited by noise, nonuniform illumination and presence of blood vessels. Inspired by recent medical research, we wanted to develop a tool for improving optic disk segmentation by registration of images of the scanning laser tomograph and color fundus photographs and by applying a method we developed for optic disk segmentation in color fundus photographs.

Methods: The segmentation of the optic disk for glaucoma diagnosis in images of the scanning laser tomograph is based on morphological operations, detection of anatomical structures and active contours and has been described in a previous paper [1]. The segmentation of the optic disk in the fundus photographs is based on nonlinear filtering, Canny edge detector and a modified Hough transform. The registration is based on mutual information using simulated annealing for finding maxima.

Results: The registration was successful 86.8% of the time when tested on 174 images. Results of the registration have shown a very low displacement error of a maximum of about 5 pixels. The correctness of the registration was manually evaluated by measuring distances between the real vessel borders and those from the registered image.

Conclusions: We have developed a method for the registration of images of the scanning laser tomograph and fundus photographs. Our first experiments showed that the optic disk segmentation could be improved by fused information from both image modalities.

Keywords

Computer-assisted image processing - optic disk - glaucoma - multimodal registration - scanning laser tomography
 

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