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suzannahturner

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During the last 9 months I have mainly worked on the development of a full model of the eye. In particular I have developed a poro-elastic model for the choroid and I have coupled it with a simple model of the vitreous. To obtain these results I have worked on the development of a library […]

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In the final 6 months of the project I mainly focused on two things: Firstly, I closely collaborated with another ESR in order to apply mathematical modelling in estimating haemodynamic features. This was applied in the context of identifying important biomarkers of progression to diabetic retinopathy. Our common work concluded with writing up a journal paper, which was […]

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In the last reporting period, a model for predicting patients at risk of developing diabetic retinopathy was designed based on patient characteristics and clinical measurements. The model yielded a cross-validated AUC of 0.77 ± 0.04 and could be used to identify patients at risk of developing retinopathy, resulting to a significant reduction of the number […]

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This reporting period my main contribution has been my work in optic disc detection and curvature enhancement. Both methods proposed were able to outperform state of the art methods on publicly available datasets. Both methods are also very adaptable (this being the main feature of the tortuosity estimation). The curvature enhancement method has allowed for […]

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The progression from diabetes to diabetic retinopathy is associated with changes in retinal haemodynamics. In collaboration with Georgios, a longitudinal study of twenty-four subjects was conducted. In this study, we monitored the retinal haemodynamics during the three years before the appearance of diabetic retinopathy (DR) and in the first year of DR. We took vascular measurements from standard fundus […]

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During the last period, I have been focusing on revising our Medical Image Analysis paper presenting and validating the whole framework for automated corneal nerve image tortuosity estimation and interpretation. Moreover, I have been drafting and revising an IEEE Transactions on Medical Imaging paper on accelerating convolutional sparse coding for curvilienar structure segmentation and a […]

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The final results of my project show that after occlusion, unidirectional flow towards the occlusion site was established. Diameters exhibited an immediate decrease, an ensuing increase with a time constant of 2.53 ± 0.77h (mean ± SD, n = 13 CAMs) and then a plateau of up to 60% above baseline without significant vascular tone […]

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The algorithm for the automatic detection of the ONH is improved and is now the fastest and second best (0.26% difference) in terms of performance compared to the best in literature, when tested on MESSIDOR dataset. Qualitative results are also improved with an elliptical approximation of the ONH boundary. This was possible by describing the photograph distortion is […]

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During this reporting period, Carlos conducted research regarding the utilisation of multi-modal cues as well as the accuracy of eye shape estimation for the retinal image registration method. Additionally, an image dataset for retinal image registration (FIRE: Fundus Image Registration Dataset) was made publicly available at http://www.ics.forth.gr/cvrl/fire/ containing 134 image pairs falling under 3 different categories and […]

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Type 2 diabetes represents the most prevalent cause for progression of diabetic retinopathy. However, there is a lack of appropriate translation animal models. Although the renin-angiotensin system plays an important role in the progression of diabetic retinopathy, its influence in diabetic retinopathy has not been systematically evaluated. Here we test the suitability of a new […]

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A software tool was created for the manual supervision of lesions resulting from the automatic algorithm. The manually supervised detection of microaneurysms in the prospective database was concluded. The new method for the quick detection of the optic disk was improved, completed with an approximate segmentation and optimised for speed and accuracy. The method for […]

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In this reporting period, Francesco designed and implemented an algorithm that classified, as artery and vein, blood vessels along the two main retinal arcades. This study was submitted and accepted at the ARVO annual meeting. He also collaborated with ESR 3.3, Giovanni Ometto, in a fruitful collaboration that led to the submission of a conference […]

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