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Pilar Pousada Solino

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Effort has been put during this reporting period to enhance the predictive analysis that has commenced since last semester. This has been achieved by including more variables in the analysis and currently, focusing on also including time-invariant information, i.e. measurements of clinical features. Some initial results indicate a decent model fit, particularly for the initial […]

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During the reporting period, simulations by means of the model of the retinal vascular network were completed. A manuscript on modelling was written and submitted to the Bulletin of Mathematical Biology. The data obtained during animal experiments last summer was analysed. In February the manuscript was approved and published in Biomedical Optics Express. Preparations for […]

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Over the past six months, I have finished data collection from my experiment on early adaptation of arteriolar collaterals in chick chorioallantoic membrane (CAM) which will be presented in my paper that is to be submitted later this month. In general, our work shows that after occlusion, unidirectional flow towards the occlusion site was established. […]

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After joining the REVAMMAD project, I started a training about machine learning techniques focusing on ensemble methods. Later, in the frame of the data warehouse task, I started to plan an application for data and algorithm sharing together with the Orobix team. In order to best suit the needs of the collaboration, I developed a system that supports […]

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This reporting period my main contribution has been my work in tortuosity.  We have gone in a different direction than most methods, which rely on a rigid mathematical formulation of curvature, to a feature-based method which relies on enhancing curvature in an image.  This allows for a tuneable method that doesn’t require a perfect segmentation […]

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The segmentation module of our fully automated tortuosity estimation system has been improved both in terms of modelling curvilinear structures and learning context filters. Moreover, a novel approach to accelerate convolutional sparse coding filter learning has been developed. This is expected to make filter learning much more discriminative and result in a more robust segmentation […]

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In the last six months my work has focused on implementing an alternative method for summarising the retinal vessel calibres in more than one group (healthy, diabetics and DRs), which will yield and estimate the trunk vessel more accurately than the current method in literature. In addition to that, the different areas inside the retina […]

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The last six months have been mainly dedicated to three different aspects. Firstly, finalising the ongoing publications: one paper on retinal autoregulation is now available online in the Journal for Modeling in Ophthalmology and another paper, more focused on the simplified fluid-structure interaction model used in the autoregulation modeling, has been accepted for publication in […]

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Netrins are a family of matrix-binding proteins that function as guidance signals. Netrin-4 displays pathologic roles in tumorigenesis and neovascularization. To answer the question whether netrin-4 acts either pro- or anti-angiogenic, angiogenesis in the retina was assessed in Ntn-4−/− mice with oxygeninduced retinopathy (OIR) and laser-induced choroidal neovascularization (CNV), mimicking hypoxiamediated neovascularization and inflammatory mediated […]

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Our publications for this reporting period have been related to corneal imaging. My colleagues and I have produced methods for the automatic detection of microdots, segmentation of nerves, and building mosaics of images for confocal microscopy. Some of this work can be directly ported to retinal images. Much of the research and hopefully subsequent publications will […]

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In the last nine months I have been mainly working on three different topics: smooth muscle models, retinal image analysis and intra ocular pressure (IOP). These topics may seem unrelated, however, retinal imaging tools are fundamental in providing reliable geometries for haemodynamics models. Retinal blood flow is characterized by autoregulation phenomena and smooth muscle cells […]

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The main goal of my project is to define alternative strategies that can prove to be more efficient and/or cost saving in the detection of diabetic retinopathy. The first step of this process was an extensive literature review in order to gain a comprehensive understanding of the nature of the disease, the risk factors that […]

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During this reporting period, Carlos continued working on his 3D retinal registration method, obtaining very promising experimental results. Those results lead to the preparation of a paper that will be submitted to Engineering in Medicine and Biology Conference 14. He also worked with ESR 3.2, Sergio Crespo Carcia, in a fruiful collaboration that led to […]

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My work over the past six months falls into three categories: Establishment of protocols on wall thickness measurement of microvessels (diameter>=10 µm) on chick chorioallantoic membrane (CAM) Devising of protocols on videomicroscopy using high speed camera which allows pulsatility analysisi of blood flow on CAM Semi-automatic segmentation methods established in collaboration with ESR 2.1 Francesco Caliva […]

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The automatic detection of lesions is a fundamental tool for my future research on the progression of diabetic retinopathy. My secondment in Lincoln was aimed at testing and adjusting an existing algorithm available at my partner University. While the algorithm was created to find all types of lesion to automate the diagnosis of referable maculopathy, […]

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I am participating actively in several projects that approach neovascularization under pathological conditions in the retina, with the interaction of an inflammatory or hypoxic environment. Projects to mention are: Quantification of activated microglia in vivo in laser CNV MacGreen mouse. Settling of a model for hypertensive retinopathy: dTGR. Settling of a model for diabetic retinopathy in […]

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I have been working on the design and development of ad-hoc methods for curvilinear structures segmentation. This work was motivated by the fact that state-of-the-art approaches tend to fail when dealing with corneal nerve fibres captured via confocal microscopy. Qualitative and quantitative results show that our methods outperform previously reported methods on several dataset. Automated […]

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During this period, I focused mainly on extracting as many features as possible from the available DR images, based on strict quality criteria (regarding inclusion of observations, power estimations and avoidance of statistical errors). Moreover, a suitable hybrid mixed model was introduced specific for the nature of my analysis which can be used when the […]

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Due to image artefacts, the result of the blood vessels’ segmentation is a set of disconnected short segments. During this three months reporting period, I worked on the problem of connecting them. At this aim, an algorithm was implemented. Given a group consisting of a certain number of segments, there can be connected together in […]

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During this reporting period, the mathematical model of the retinal vascular network was improved, and some results for paper were obtained. Work on manuscript, dedicated to mathematical model was started. In addition to modeling part of my work, animal experiments on rats eyes were carried out. Now, these experiments are focused on detection of retinal […]

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Experimentation, as part of my REVAMMAD project, aims to lay ground for simulation of blood flow and vascular structural adaptation in microvascular network on CAM before and after arteriolar occlusion. Generally, this experimental work includes three consecutive components: 1) Cultivation of ex-ovo chicken embryos; 2) Imaging and recording of microvascular network on ex-ovo CAM assay […]

under: Progress Reports

To approach retinal vascular diseases it is necessary to adopt different strategies to understand the mechanisms of the pathology and transfer that knowledge into practical clinical tools. Vasculature in the retina changes under pathological conditions. However, vessels are not alone and we have to understand the disease as a complex puzzle where every piece has […]

under: Progress Reports

Classify in vivo confocal microscopy corneal images by tortuosity is complicated by the presence of variable numbers of fibres of different tortuosity level. Instead of designing a function combining manually selected features into a single coefficient, as done in the literature, we proposed a supervised approach which selects automatically the most relevant combination of shape features […]

under: Progress Reports

During last 6 months I managed to accomplish an important milestone in my project, namely the creation of a prototype of Data Warehouse. Initial architecture decisions proved to be correct and led to an implementation that is robust and flexible at the same time. Existence of a prototype  allows me to start incorporating datasets and […]

under: Progress Reports

Our publications for this reporting period have been related to corneal imaging.  My colleagues and I have produced methods for the automatic detection of microdots, segmentation of nerves, and building mosaics of images for confocal microscopy.  Some of this work can be directly ported to retinal images.  Much of the research and hopefully subsequent publications […]

under: Progress Reports

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