The scope of this work is to develop a technological platform specialized in assessing retinal vessel caliber and describing the relationship of the results obtained to cardiovascular risk.

Population studies conducted have found retinal vessel caliber to be related to the risk of hypertension, left ventricular hypertrophy, metabolic syndrome, stroke, and coronary artery disease. The vascular system in the human retina has a unique property: it is easily observed in its natural living state in the human retina by the use of a retinal camera. Retinal circulation is an area of active research among numerous groups, and there is general experimental agreement on the analysis of the patterns of the retinal blood vessels in the normal human retina. The development of automated tools designed to improve performance and decrease interobserver variability, therefore, appears necessary.

ALTAIR (Automatic image analyzer to assess retinal vessel caliber) is a novel platform image processing that studies the structural properties of vessels, arteries and veins that are observed with a red-free fundus camera in the normal human eye, and the fractal analysis of the branching trees of the vascular system. Altair employs analytical methods and AI (Artificial Intelligence) algorithms to detect retinal parameters of interest. The sequence of algorithms represents a new methodology to determine the properties of retinal veins and arteries. The platform uses the latest statistical and medical computer techniques:

– Firstly, a phase called “digitization of the retina”, in which the different parts of the eye image are identified. Here a data structure is created, which makes it possible to represent and process the retina without requiring the original image. This phase includes modules of preprocessing (techniques: filters noise, contrast, etc.), detection (techniques based on the detection of edges or borders, Hough transform, etc.), and segmentation (algorithms based on matched filters, vessel tracking and Principal Component analysis or PCA).

– Secondly, a phase of “measurements” in which we work with retinas that have been previously identified. This phase includes extraction of knowledge and manual correction (techniques: expert knowledge thresholding techniques, case-based reasoning (CBR), etc.).

The platform does not require user initialization, it is robust to the changes in the appearance of retinal fundus images typically encountered in clinical environments, and is intended as a unified tool to link all the methods needed to automate all processes of measurement on the retinas.

juan-manuel-corchado-altair

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ASSOCIATED PROJECTS

NATIONALS

ALTAIR: Development and validation of a tool for the analysis of the vascularization of the retina

Funding body: Fundación Vicente y García Corselas

Principal Research: Luis García Ortiz

Start date: 2014-01-01    End date: 2014-12-01

REGIONALS

Altair: Validation of the tool ALTAIR for the analysis of the vascularization of the retina

Reference: GRS 907/B/1

Funding body: Consejeria de Sanidad de C y L.(Gerencia Regional de Salud)

Principal Research: Luis Garcia Ortiz

Start date: 2014-04-01    End date: 2015-06-01

 

Posted by Juan M. Corchado

Juan Manuel Corchado (15 de Mayo de 1971, Salamanca, España) Catedrático en la Universidad de Salamanca. Ha sido Vicerrector de Investigación desde el 2013 hasta el 2017 y Director del Parque Científico de la Universidad de Salamanca. Elegido dos veces como Decano de la Facultad de Ciencias, es Doctor en Ciencias de la Computación por la Universidad de Salamanca y, además, es Doctor en Inteligencia Artificial por la University of the West of Scotland. Dirige el Grupo de Investigación Reconocido BISITE (Bioinformática, Sistemas Inteligentes y Tecnología Educativa), creado en el año 2000. Director del IOT Digital Innovation Hub y presidente del AIR Institute, J. M. Corchado también es Profesor Visitante en el Instituto Tecnológico de Osaka desde enero de 2015, Profesor visitante en la Universiti Malaysia Kelantan y Miembro del Advisory Group on Online Terrorist Propaganda of the European Counter Terrorism Centre (EUROPOL). J. M. Corchado ha sido presidente de la asociación IEEE Systems, Man and Cybernetics, y coordinador académico del Instituto Universitario de Investigación en Arte y Tecnología de la Animación de la Unviersidad de Salamanca e investigador en las Universidades de Paisley (UK), Vigo (Spain) y en el Plymouth Marine Laboratory (UK). En la actualidad compagina toda su actividad con la dirección de los programas de Máster en Seguridad, Animación Digital, Telefonía Movil, Dirección de Sistemas de Información, Internet de las Cosas, Social Media, Diseño e Impresión 3D, Blockchain, Z System, Industria 4.0, Gestión de Proyectos Ágiles y Smart Cities & Intelligent Buildings​, en la Universidad de Salamanca y su trabajo como editor jefe de las revistas ADCAIJ (Advances in Distributed Computing and Artificial Intelligence Journal), OJCST (Oriental Journal of Computer Science and Technology) o Electronics MDPI (Computer Science & Engineering section). J. M. Corchado desarrolla principalmente trabajos en proyectos relacionados con Inteligencia Artificial, Machine Learning, Blockchain, IoT, Fog Computing, Edge Computing, Smart Cities, Smart Grids y Análisis de sentimiento.

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