Objective Arterial stenting has become a very important and successful intervention in vascular surgery. One of the most common scenarios includes so-called stent grafts, which are usually composed of a special fabric and supported by a metal stent mesh. Such stent grafts are used in endovascular repair (EVAR) to support weak spots and localized bulges (aneurysms) in an artery being at risk of rupture, most commonly for abdominal aortic aneurysms (AAA). The stent graft strengthens the weakened region of the arterial wall and excludes the AAA from blood flow and blood pressure. Over the last decade, an enormous thrust of research with regard to computational analysis of biomedical engineering problems in general, and with regard to hemodynamics, vascular mechanics and stent placement in particular has taken place. While significant progress has been made in all mentioned fields, computational analysis of stent placement using finite element methods (FEM) is still not predictive enough to give specific advice to vascular surgeons on how to optimally place the stent graft during EVAR. Instead, this decision is mostly based on the experience of the vascular surgeon. Risks of stent placement include a movement of the stent away from the desired location (migration), leaking of blood around stent grafts (endoleakage) and damage of the arterial wall caused by the stent itself. The main objective of the proposed research project is the development, implementation and validation of advanced FEM tools for stent placement simulation. The long-term vision is to be able to provide vascular surgeons with unprecedented predictive capabilities regarding the optimal choice of a patient-specific stent design (size, geometry, etc.) and stent positioning in order to safeguard against the risks mentioned above. Fields of science medical and health sciencesmedical biotechnologymedical and health sciencesclinical medicineangiologyvascular diseasesmedical and health sciencesclinical medicinesurgerysurgical specialtiesnatural sciencesmathematicspure mathematicsgeometry Keywords Finite element method Stents Arteries Contact mechanics Fluid-structure interaction Patient-specific modeling Large deformations Programme(s) H2020-EU.1.3. - EXCELLENT SCIENCE - Marie Skłodowska-Curie Actions Main Programme H2020-EU.1.3.2. - Nurturing excellence by means of cross-border and cross-sector mobility Topic(s) MSCA-IF-2014-GF - Marie Skłodowska-Curie Individual Fellowships (IF-GF) Call for proposal H2020-MSCA-IF-2014 See other projects for this call Funding Scheme MSCA-IF - Marie Skłodowska-Curie Individual Fellowships (IF) Coordinator TECHNISCHE UNIVERSITAET MUENCHEN Net EU contribution € 276 274,80 Address Arcisstrasse 21 80333 Muenchen Germany See on map Region Bayern Oberbayern München, Kreisfreie Stadt 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 Total cost € 276 274,80 Partners (1) Sort alphabetically Sort by Net EU contribution Expand all Collapse all Partner Partner organisations contribute to the implementation of the action, but do not sign the Grant Agreement. NATIONAL UNIVERSITY CORPORATION THEUNIVERSITY OF TOKYO Japan Net EU contribution € 0,00 Address HONGO BUNKYO KU 7 3 1 113 8656 Tokyo See on map 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 Total cost € 190 544,40