Objective
Cardiovascular diseases are the leading cause of death globally, and risk factors for numerous pathologies of the circulatory system are continuously increasing. Medical treatment options and diagnostics improve, where especially the recent advances in data-driven numerical methods for clinical support bear great potential. Computational fluid and solid mechanics play a key role in gaining insight into the complex physics, but even highly efficient traditional schemes do not fit into the clinical timeframe.
This project aims to develop reduced order models targeting the vascular system, considering for inter-patient variability. Following this approach, a compute-intense offline phase constructs suitable physics-consistent surrogate models, which deliver faithful approximations in near-real-time to be queried by the user in the online phase. The state of the art in model order reduction of the vascular system is extended by considering for global geometric variability, advanced material models and parameter fields for blood and tissue as well as their coupling to derive patient-specific biomarkers of clinical relevance within seconds.
These developments will not only open the path to transforming the role of numerical modeling in clincial practice, but will further build a starting point for the computational science and engineering community by providing open-source implementations based on highly efficient, modern finite element codes and accompanying tutorials to foster future developments and initiate momentum.
The proposed project encompasses an outgoing phase at the Oden Institute, UT Austin, where the ambitious project goals are persued together with advisors Prof. K.E. Willcox and Prof. T.J.R. Hughes, two of the most influential experts in computational science and engineering. The developed reduced order models are then further tailored to the clinical scenario at TU Graz’s Institute of Biomechanics, validating their applicability.
Fields of science (EuroSciVoc)
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. See: https://op.europa.eu/en/web/eu-vocabularies/euroscivoc.
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. See: https://op.europa.eu/en/web/eu-vocabularies/euroscivoc.
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Keywords
Programme(s)
- HORIZON.1.2 - Marie Skłodowska-Curie Actions (MSCA) Main Programme
Funding Scheme
HORIZON-TMA-MSCA-PF-GF - HORIZON TMA MSCA Postdoctoral Fellowships - Global FellowshipsCoordinator
8010 Graz
Austria