02701nam 22005535 450 991029992200332120200702050430.03-319-56327-010.1007/978-3-319-56327-5(CKB)4100000001794681(DE-He213)978-3-319-56327-5(MiAaPQ)EBC5231558(PPN)223956392(EXLCZ)99410000000179468120180120d2018 u| 0engurnn|008mamaatxtrdacontentcrdamediacrrdacarrierAortic Dissection: Simulation Tools for Disease Management and Understanding /by Mona Alimohammadi1st ed. 2018.Cham :Springer International Publishing :Imprint: Springer,2018.1 online resource (XXIX, 179 p. 92 illus., 85 illus. in color.) Springer Theses, Recognizing Outstanding Ph.D. Research,2190-50533-319-56326-2 This thesis addresses computation fluid dynamics modelling of aortic dissection (AD), in order to generate in silico diagnostic information and assess ‘virtual surgery’ outcomes. The thesis introduces several important advances in the modelling of aortic dissection and lays essential groundwork for further development of this technology. The work thesis represents a unique and major step forward in our understanding of AD using a patient-specific, systematic and coherent simulation approach, and is currently the most advanced work available on AD. .Springer Theses, Recognizing Outstanding Ph.D. Research,2190-5053Biomedical engineeringFluid mechanicsHeartSurgeryBiomedical Engineering and Bioengineeringhttps://scigraph.springernature.com/ontologies/product-market-codes/T2700XEngineering Fluid Dynamicshttps://scigraph.springernature.com/ontologies/product-market-codes/T15044Cardiac Surgeryhttps://scigraph.springernature.com/ontologies/product-market-codes/H59028Biomedical engineering.Fluid mechanics.HeartSurgery.Biomedical Engineering and Bioengineering.Engineering Fluid Dynamics.Cardiac Surgery.617.413Alimohammadi Monaauthttp://id.loc.gov/vocabulary/relators/aut1058110MiAaPQMiAaPQMiAaPQBOOK9910299922003321Aortic Dissection: Simulation Tools for Disease Management and Understanding2497201UNINA