Abstract
The advent of high-resolution imaging systems and powerful computational resources has made it possible to obtain information about the in vivo anatomy of blood vessels in a non invasive way. By employing this information as the domain definition for computational fluid dynamics, it is now possible to model hemodynamics in realistic geometric configurations on a subject-specific basis. Since geometry has a strong influence on hemodynamics, as will shown extensively in Chapter 5, the procedure used to model the geometry of a blood vessel from medical images plays a primary role in determining the reliability of haemodynamic predictions and, ultimately, their clinical significance.
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© 2009 Springer-Verlag Italia, Milano
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Antiga, L., Peiró, J., Steinman, D.A. (2009). From image data to computational domains. In: Formaggia, L., Quarteroni, A., Veneziani, A. (eds) Cardiovascular Mathematics. MS&A, vol 1. Springer, Milano. https://doi.org/10.1007/978-88-470-1152-6_4
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DOI: https://doi.org/10.1007/978-88-470-1152-6_4
Publisher Name: Springer, Milano
Print ISBN: 978-88-470-1151-9
Online ISBN: 978-88-470-1152-6
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