ICOMATH

Integrated Computational Model Framework for the Study of Atherosclerosis

 Coordinatore UNIVERSITY OF PATRAS 

 Organization address address: UNIVERSITY CAMPUS RIO PATRAS
city: RIO PATRAS
postcode: 26500

contact info
Titolo: Prof.
Nome: Anastasios
Cognome: Bezerianos
Email: send email
Telefono: 302610000000
Fax: 302611000000

 Nazionalità Coordinatore Greece [EL]
 Totale costo 75˙000 €
 EC contributo 75˙000 €
 Programma FP7-PEOPLE
Specific programme "People" implementing the Seventh Framework Programme of the European Community for research, technological development and demonstration activities (2007 to 2013)
 Code Call FP7-PEOPLE-2009-RG
 Funding Scheme MC-IRG
 Anno di inizio 2011
 Periodo (anno-mese-giorno) 2011-02-07   -   2014-02-06

 Partecipanti

# participant  country  role  EC contrib. [€] 
1    UNIVERSITY OF PATRAS

 Organization address address: UNIVERSITY CAMPUS RIO PATRAS
city: RIO PATRAS
postcode: 26500

contact info
Titolo: Prof.
Nome: Anastasios
Cognome: Bezerianos
Email: send email
Telefono: 302610000000
Fax: 302611000000

EL (RIO PATRAS) coordinator 75˙000.00

Mappa


 Word cloud

Esplora la "nuvola delle parole (Word Cloud) per avere un'idea di massima del progetto.

ldl    plaque    western    framework    disease    model    pathobiological    atherosclerosis    arterial    algorithms    mechanics    viscoelastic    wall    blood    scientists    biological    transport    propagation    computational    waves    death    shear    flow    play    dynamics    mechanisms    world    cholesterol    arteries    period   

 Obiettivo del progetto (Objective)

'Atherosclerosis, a disease of large- and medium-size arteries, is the major cause of death in most of the Western world. The blood flow and its interaction with the arterial wall deformation are considered to play a significant role in the pathobiological mechanisms (i.e. LDL concentraton) involved in the process of atheroma formation. Therefore, a unified computational model framework is proposed herein, which integrates blood flow dynamics and arterial wall mechanics, and based on the findings, it aims at describing the biological events that trigger the atherogenic process and its progression, through the study of LDL transport. It is believed that such an integrated computational model framework will provide a better understanding of the pathobiology of the disease and the underlying biological processes.'

Introduzione (Teaser)

Atherosclerosis is the main cause of death in most of the western world. A novel model combining arterial mechanics and blood flow dynamics promises to shed new light on mechanisms and treatments.

Descrizione progetto (Article)

Atherosclerosis, literally from the Greek 'hardening' of the arteries, is a condition characterised by a build-up of plaque consisting of fat, cholesterol and other substances along the arterial walls. Blood flow and interactions with the deformations in the arterial wall play an important role in the development of atherosclerosis. Such mechanisms lend themselves to mathematical descriptions of forces and flows.

Scientists initiated the EU-funded project 'Integrated computational model framework for the study of atherosclerosis' (ICOMATH) to combine blood flow dynamics and arterial wall mechanics in a single model of atherosclerosis processes and mechanisms. Changing model parameters and testing novel hypotheses will increase understanding of pathobiological substrates of the disease. One to be investigated is low-density lipoprotein (LDL), often called 'bad cholesterol'), which is known to be a major component of plaque.

During the first project period, scientists developed and optimised two methods for using ultrasound to study the propagation of shear waves in tissues including arteries. The methods were used to increase spatial resolution of estimated viscoelastic tissue properties. These results have been published or accepted for publication.

A third study focused on the use of a three-dimensional (3D) finite element method (FEM) model and an established viscoelastic model (the Voigt model) to improve performance of the algorithms related to propagation of shear waves and interpretation of physical phenomena. These three models will be combined in the next period to produce a multi-layer model of the arterial wall.

Scientists are also developing image processing and classification algorithms to characterise atherosclerotic plaques obtained from clinical samples. Continued work will target the blood flow model and a model of LDL transport and plaque formation for a comprehensive description of atherosclerosis, including mechanisms and effects.

Enhanced understanding of biopathological mechanisms will facilitate development of better therapies for this disease.

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