Project description DEENESFRITPL Simulation-based imaging framework for assessing risk of intracranial aneurysm rupture An unruptured intracranial aneurysm (UIA) is a relatively common cerebrovascular disorder with a considerable number of patients at high risk of aneurysm rupture, a life-threatening condition. The EU-funded Sim4DFlow project’s core objective is to develop a novel simulation-based imaging framework that integrates the advanced computational techniques of 4D flow magnetic resonance imaging (MRI), machine learning (ML) and computational fluid dynamics (CFD). Identifying the factors contributing to UIA rupture and applying 4D flow MRI, ML algorithms and CFD models will enable advanced quantification of personal rupture risk assessment in UIA patients. Show the project objective Hide the project objective Objective Unruptured intracranial aneurysm (UIA) is a severe, relatively common cerebrovascular disorder in the general population. Although such aneurysms are mostly asymptomatic and may not burst, a considerable number of UIA patients remain on a high risk of aneurysm rupture, a serious life-threatening condition. Thus, is crucial to decide the timing and type (clipping, coils, and/or stent, flow diverter) of surgical intervention. However, the optimal management strategy of UIA is still open to clinical debate, with recommendations for elective repair after diagnosis based primarily on the aneurysm size and location. While cardiovascular flow imaging has strong potential to provide the required information for surgical decision-making, currently, flow imaging and assessment is not sufficient to reliably predict rupture and quantitatively assess the risk of haemorrhage. By identifying factors contributing to UIA rupture and by incorporating advanced computational techniques, i.e. 4D flow magnetic resonance imaging (MRI), machine learning (ML) algorithms, and computational fluid dynamics (CFD) models, this project will technologically advance quantification of rupture risk assessment on an UIA patient-specific basis.This project, Sim4DFlow, core technological aim is to develop a novel simulation-based imaging framework that can integrate the advanced computational techniques of 4D flow MRI, ML, and CFD. Subsequently, Sim4DFlow will test and validate the framework prognostic capacity in the laboratory setting against relevant data of UIA patients. Fields of science medical and health sciencesclinical medicineangiologyvascular diseasesmedical and health sciencesclinical medicinesurgerysurgical proceduresnatural sciencesphysical sciencesclassical mechanicsfluid mechanicsfluid dynamicscomputational fluid dynamicsengineering and technologymedical engineeringdiagnostic imagingmagnetic resonance imagingnatural sciencescomputer and information sciencesartificial intelligencemachine learning Programme(s) H2020-EU.4. - SPREADING EXCELLENCE AND WIDENING PARTICIPATION Main Programme Topic(s) WF-03-2020 - Widening Fellowships Call for proposal H2020-WF-2018-2020 See other projects for this call Sub call H2020-WF-03-2020 Funding Scheme MSCA-IF-EF-ST - Standard EF Coordinator UNIVERSITY OF CYPRUS Net EU contribution € 157 941,12 Address Avenue panepistimiou 2109 aglantzi 1678 Nicosia Cyprus See on map Region Κύπρος Κύπρος Κύπρος Activity type Higher or Secondary Education Establishments Links Contact the organisation Opens in new window Website Opens in new window Participation in EU R&I programmes Opens in new window HORIZON collaboration network Opens in new window Other funding € 0,00
