HPC-based uncertainty quantification for fluidstructure coupling in medical engineering

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dc.contributor.author Kratzke, Jonas
dc.contributor.author Heuveline, Vincent
dc.date.accessioned 2018-08-22T13:49:38Z
dc.date.available 2018-08-22T13:49:38Z
dc.date.issued 2018-08-14
dc.identifier.other 510361641
dc.identifier.uri http://hdl.handle.net/10900/83812
dc.identifier.uri http://nbn-resolving.de/urn:nbn:de:bsz:21-dspace-838122 de_DE
dc.identifier.uri http://dx.doi.org/10.15496/publikation-25202
dc.description.abstract In recent decades biomedical studies with living probands (in vivo) and artificial experiments (in vitro) have been complemented more and more by computation and simulation (in silico). In silico techniques for medical engineering can give for example enhanced information for the diagnosis and risk stratification of cardiovascular disease, one of the most occurring causes of death in the developed countries. Other use cases for in silico methods are given by virtual prototyping and the simulation of possible surgery outcomes. High reliability is a requirement for cardiovascular diagnosis and risk stratification methods especially with surgical decision-making. Given uncertainties in the input data of a simulation, this implies a necessity to quantify the uncertainties in simulation results. Uncertainties can be propagated within a numerical simulation by methods of Uncertainty Quantification (UQ). en
dc.language.iso en de_DE
dc.publisher Universität Tübingen de_DE
dc.publisher Universität Tübingen de_DE
dc.rights ubt-podok de_DE
dc.rights.uri http://tobias-lib.uni-tuebingen.de/doku/lic_mit_pod.php?la=de de_DE
dc.rights.uri http://tobias-lib.uni-tuebingen.de/doku/lic_mit_pod.php?la=en en
dc.subject.classification Hochleistungsrechnen de_DE
dc.subject.ddc 000 de_DE
dc.subject.ddc 004 de_DE
dc.title HPC-based uncertainty quantification for fluidstructure coupling in medical engineering en
dc.type ConferencePaper de_DE
utue.publikation.fachbereich Zentrum für Datenverarbeitung de_DE
utue.publikation.fakultaet 7 Mathematisch-Naturwissenschaftliche Fakultät de_DE

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