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Predictive Simulation of Bidirectional Glenn Shunt Using a Hybrid Blood Vessel Model

  • Hao Li
  • Wee Kheng Leow
  • Ing-Sh Chiu
Part of the Lecture Notes in Computer Science book series (LNCS, volume 5762)

Abstract

This paper proposes a method for performing predictive simulation of cardiac surgery. It applies a hybrid approach to model the deformation of blood vessels. The hybrid blood vessel model consists of a reference Cosserat rod and a surface mesh. The reference Cosserat rod models the blood vessel’s global bending, stretching, twisting and shearing in a physically correct manner, and the surface mesh models the surface details of the blood vessel. In this way, the deformation of blood vessels can be computed efficiently and accurately. Our predictive simulation system can produce complex surgical results given a small amount of user inputs. It allows the surgeon to easily explore various surgical options and evaluate them. Tests of the system using bidirectional Glenn shunt (BDG) as an application example show that the results produced by the system are similar to real surgical results.

Keywords

Hybrid Model Superior Vena Cava Surface Mesh Global Strain Mesh Vertex 
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 Berlin Heidelberg 2009

Authors and Affiliations

  • Hao Li
    • 1
    • 2
  • Wee Kheng Leow
    • 1
    • 2
  • Ing-Sh Chiu
    • 3
  1. 1.Dept. of Computer ScienceNational University of SingaporeSingapore
  2. 2.Image & Pervasive Access Lab (IPAL), UMI CNRSSingapore
  3. 3.Dept. of SurgeryNational Taiwan University HospitalTaipeiTaiwan

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