Abstract
In order to simulate intravascular interventions, a discretized representation of a guide wire is introduced which allows modeling of guide wires with different physical properties. An algorithm for simulating the propagation of a guide wire within a vascular system, on basis of the principle of minimization of energy, has been developed. Both longitudinal translation and rotation are incorporated as possibilities to manipulate the guide wire. The algorithm is based on quasi-static mechanics. Two types of energy are introduced, internal energy related to the bending energy of the guide wire and external energy resulting from the elastic deformation of the vessel wall. Compared to existing work, the novelty of our approach lies in the fact that an analytical solution is achieved. The algorithm is tested on phantom data. Results indicate plausible behavior of the simulation.
Chapter PDF
Similar content being viewed by others
Keywords
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.
References
G. Abdoulaev, S. Cadeddu, and G. Delussu et al. ViVa: The Virtual Vascular Project. IEEE Trans. on Inform. Techn. in Biomedicine, (22(4)):268–274, 1998.
G. Arfken. Mathematical Methods for Physicists.
S. Cotin, H. Delingette, and N. Ayache. Real-Time Elastic Deformations of Soft Tissues for Surgery Simulation. IEEE: Transactions on Visualization and Computer Graphics, (5(1)):62–73, January-March 1999.
J.K. Hahn and R. Kaufman et al. Training Environment for Inferior Vena Caval Filter Placement. Studies in Health Techn. and Inf., (50):291–297, 1998.
M.K. Konings and E.B. van de Kraats. Discretized Analytical Guide Wire Movement Algorithm. Utrecht Medical Center Utrecht Technical Report 015319, 2000.
H.L. Lim, B.R. Shetty, C.K. Chui, Y.P. Wang, and Y.Y. Cai. Real-Time Iinteractive Surgical Simulator for Catheter Navigation. Proceedings of SPIE Biomedical Optics 1998, SPIE vol. 3262 San Jose, USA, January, pages 4–14, 1998.
Z. Li and C.K. Chui et al. Computer Environment for Interventional Neuroradiology Procedures. Simulation and Gaming, (32(3)):404–419, 2001.
J.K. Udupa and S. Samarasekera. Fuzzy Connectedness and Object Definition: Theory, Algorithms, and Applications in Image Segmentation. Graphical Models and Image Processing, (58(3)):246–261, 1996.
O. Zienkewickz and R. Taylor. The Finite Element Method. McGraw Hill, 1987.
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2002 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Alderliesten, T., Konings, M.K., Niessen, W.J. (2002). Simulation of Guide Wire Propagation for Minimally Invasive Vascular Interventions. In: Dohi, T., Kikinis, R. (eds) Medical Image Computing and Computer-Assisted Intervention — MICCAI 2002. MICCAI 2002. Lecture Notes in Computer Science, vol 2489. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-45787-9_31
Download citation
DOI: https://doi.org/10.1007/3-540-45787-9_31
Published:
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-44225-7
Online ISBN: 978-3-540-45787-9
eBook Packages: Springer Book Archive