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From image data to computational domains

  • Luca Antiga
  • Joaquim Peiró
  • David A. Steinman
Part of the MS&A book series (MS&A, volume 1)

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.

Keywords

Computational Domain Mesh Generation Unstructured Mesh Deformable Model Radial Basis Function 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Italia, Milano 2009

Authors and Affiliations

  • Luca Antiga
    • 1
  • Joaquim Peiró
    • 2
  • David A. Steinman
    • 3
  1. 1.Mario Negri InstituteBergamoItaly
  2. 2.Department of AeronauticsImperial CollegeLondonUK
  3. 3.Mechanical and Industrial EngineeringUniversity of TorontoTorontoCanada

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