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

Authors:
Hao Li;Wee Kheng Leow;Ing-Sh Chiu
Affiliations:
Dept. of Computer Science, National University of Singapore, Singapore and Image & Pervasive Access Lab (IPAL), UMI CNRS, Singapore;Dept. of Computer Science, National University of Singapore, Singapore and Image & Pervasive Access Lab (IPAL), UMI CNRS, Singapore;Dept. of Surgery, National Taiwan University Hospital, Taipei, Taiwan
Venue:
MICCAI '09 Proceedings of the 12th International Conference on Medical Image Computing and Computer-Assisted Intervention: Part II
Year:
2009

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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.