Köhler T, Heinrich A, Maier A, Hornegger J, Tornow RP (2016)
Publication Type: Conference contribution
Publication year: 2016
Publisher: IEEE Computer Society
Edited Volumes: Proceedings - International Symposium on Biomedical Imaging
Book Volume: 2016-June
Pages Range: 1063-1067
Conference Proceedings Title: 2016 IEEE 13th International Symposium on Biomedical Imaging
Event location: Prague, Czech Republic
ISBN: 9781479923502
URI: https://www5.informatik.uni-erlangen.de/Forschung/Publikationen/2016/Kohler16-SRI.pdf
DOI: 10.1109/ISBI.2016.7493449
The acquisition of high-resolution retinal fundus images with a large field of view (FOV) is challenging due to technological, physiological and economic reasons. This paper proposes a fully automatic framework to reconstruct retinal images of high spatial resolution and increased FOV from multiple low-resolution images captured with non-mydriatic, mobile and video-capable but low-cost cameras. Within the scope of one examination, we scan different regions on the retina by exploiting eye motion conducted by a patient guidance. Appropriate views for our mosaicing method are selected based on optic disk tracking to trace eye movements. For each view, one super-resolved image is reconstructed by fusion of multiple video frames. Finally, all super-resolved views are registered to a common reference using a novel polynomial registration scheme and combined by means of image mosaicing. We evaluated our framework for a mobile and low-cost video fundus camera. In our experiments, we reconstructed retinal images of up to 30° FOV from 10 complementary views of 15° FOV. An evaluation of the mosaics by human experts as well as a quantitative comparison to conventional color fundus images encourage the clinical usability of our framework.
APA:
Köhler, T., Heinrich, A., Maier, A., Hornegger, J., & Tornow, R.-P. (2016). Super-Resolved Retinal Image Mosaicing. In 2016 IEEE 13th International Symposium on Biomedical Imaging (pp. 1063-1067). Prague, Czech Republic: IEEE Computer Society.
MLA:
Köhler, Thomas, et al. "Super-Resolved Retinal Image Mosaicing." Proceedings of the International Symposium on Biomedical Imaging (ISBI)), Prague, Czech Republic IEEE Computer Society, 2016. 1063-1067.
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