Analytical guide wire motion algorithm for simulation of endovascular interventions
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Updated: Aug 29, 2026

Simulator Training for Endovascular Neurosurgery
Published on: May 6, 2020
M K Konings1, E B van de Kraats, T Alderliesten
1Department of Medical Technology & Image Sciences Institute, University Medical Center Utrecht, Utrecht, The Netherlands. m.konings@azu.nl
Abstract:
Performing minimally invasive vascular interventions requires proper training, as a guide wire needs to be manipulated, by the tail, under fluoroscopic guidance. To provide a training environment, the motion of the guide wire inside the human vasculature can be simulated by computer. Such a simulation needs to be based on an algorithm that is both realistic and fast. To meet these two demands, an analytical solution to the problem of guide wire motion has been derived, using a new parametrisation of guide wire shape. The algorithm is highly generic, is entirely based on elementary physics and has good convergence properties (accuracy of 22 micron after two iterations). In an experimental validation of the algorithm in a planar model, the RMS of the spatial discrepancy between the real and simulated catheter positions was about 10% of the lumen size. Comparison of the simulated guide wire motion with 3D rotational angiography data of a real guide wire advanced in a plastic phantom of the cerebral vasculature showed that the new algorithm produced realistic results.
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