16 November 2017 Neovascularization detection in diabetic retinopathy from fluorescein angiograms
Benjamin Béouche-Hélias, David Helbert, Cynthia de Malézieu, Nicolas Leveziel, Christine Fernandez-Maloigne
Author Affiliations +
Abstract
Although a lot of work has been done on optical coherence tomography and color images in order to detect and quantify diseases such as diabetic retinopathy, exudates, or neovascularizations, none of them is able to evaluate the diffusion of the neovascularizations in retinas. Our work has been to develop a tool that is able to quantify a neovascularization and the fluorescein leakage during an angiography. The proposed method has been developed following a clinical trial protocol; images are taken by a Spectralis (Heidelberg Engineering). Detections are done using a supervised classification using specific features. Images and their detected neovascularizations are then spatially matched by an image registration. We compute the expansion speed of the liquid that we call diffusion index. This last one specifies the state of the disease, permits indication of the activity of neovascularizations, and allows a follow-up of patients. The method proposed in this paper has been built to be robust, even with laser impacts, to compute a diffusion index.
© 2017 Society of Photo-Optical Instrumentation Engineers (SPIE) 2329-4302/2017/$25.00 © 2017 SPIE
Benjamin Béouche-Hélias, David Helbert, Cynthia de Malézieu, Nicolas Leveziel, and Christine Fernandez-Maloigne "Neovascularization detection in diabetic retinopathy from fluorescein angiograms," Journal of Medical Imaging 4(4), 044503 (16 November 2017). https://doi.org/10.1117/1.JMI.4.4.044503
Received: 29 March 2017; Accepted: 27 October 2017; Published: 16 November 2017
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CITATIONS
Cited by 3 scholarly publications.
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KEYWORDS
Diffusion

Angiography

Image registration

Retina

Image segmentation

Databases

Liquids

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