Hostname: page-component-cd9895bd7-lnqnp Total loading time: 0 Render date: 2024-12-19T02:13:57.286Z Has data issue: false hasContentIssue false

Computational fluid dynamics in a model of the total cavopulmonary connection reconstructed using magnetic resonance images

Published online by Cambridge University Press:  26 October 2005

Laura Socci
Affiliation:
Structural Engineering Department and Laboratory of Biological Structure Mechanics, Politecnico di Milano, Milan, Italy
Francesca Gervaso
Affiliation:
Structural Engineering Department and Laboratory of Biological Structure Mechanics, Politecnico di Milano, Milan, Italy
Francesco Migliavacca
Affiliation:
Bioengineering Department and Laboratory of Biological Structure Mechanics, Politecnico di Milano, Milan, Italy
Giancarlo Pennati
Affiliation:
Bioengineering Department and Laboratory of Biological Structure Mechanics, Politecnico di Milano, Milan, Italy
Gabriele Dubini
Affiliation:
Structural Engineering Department and Laboratory of Biological Structure Mechanics, Politecnico di Milano, Milan, Italy
Lamia Ait-Ali
Affiliation:
Institute of Clinical Physiology, CNR, Pisa, Italy
Pierluigi Festa
Affiliation:
Institute of Clinical Physiology, CNR, Pisa, Italy
Francesca Amoretti
Affiliation:
Paediatric Cardiac Surgery, Ospedale “G. Pasquinucci”, Massa, Italy
Luigi Scebba
Affiliation:
Paediatric Cardiac Surgery, Ospedale “G. Pasquinucci”, Massa, Italy
Vincenzo Stefano Luisi
Affiliation:
Paediatric Cardiac Surgery, Ospedale “G. Pasquinucci”, Massa, Italy

Extract

The recent developments in imaging techniques have created new opportunities to give an accurate description of the three-dimensional morphology of vessels. Such three-dimensional reconstruction of anatomical structures from medical images has achieved importance in several applications, such as the reconstruction of human bones, spine portions, and vascular districts.

Type
Second International Workshop
Copyright
© 2005 Cambridge University Press

Access options

Get access to the full version of this content by using one of the access options below. (Log in options will check for institutional or personal access. Content may require purchase if you do not have access.)