Towards a digital twin for aorta: An in-silico image-based approach coupling numerical simulations and CT-gated images to assess patients specific aortic hemodynamics.

Autor:	Capellini K; BioCardioLab, Bioengineering Unit, Fondazione Toscana G. Monasterio, 54100 Massa, Italy., Dell'Agnello F; BioCardioLab, Bioengineering Unit, Fondazione Toscana G. Monasterio, 54100 Massa, Italy; Department of Information Engineering, University of Pisa, 56122 Pisa, Italy., Gasparotti E; BioCardioLab, Bioengineering Unit, Fondazione Toscana G. Monasterio, 54100 Massa, Italy., Vignali E; BioCardioLab, Bioengineering Unit, Fondazione Toscana G. Monasterio, 54100 Massa, Italy., Mazzoli M; BioCardioLab, Bioengineering Unit, Fondazione Toscana G. Monasterio, 54100 Massa, Italy; Department of Information Engineering, University of Pisa, 56122 Pisa, Italy., Scarpolini MA; BioCardioLab, Bioengineering Unit, Fondazione Toscana G. Monasterio, 54100 Massa, Italy; Department of Industrial Engineering, University of Rome 'Tor Vergata', 00133 Roma, Italy., Cademartiri F; Clinical Imaging Department, Fondazione Toscana G. Monasterio, 56124 Pisa, Italy., Celi S; BioCardioLab, Bioengineering Unit, Fondazione Toscana G. Monasterio, 54100 Massa, Italy.
Jazyk:	angličtina
Zdroj:	Vascular pharmacology [Vascul Pharmacol] 2024 Jun; Vol. 155, pp. 107305.
DOI:	10.1016/j.vph.2024.107305
Databáze:	MEDLINE
Externí odkaz:	Zobrazit plný text záznamu Full Text from ScienceDirect