Numerical Optimization of Geometric Characteristics of Vascular Anastomosis using Swar Intelligence Methods in Neurosurgery
Yu. O. Kuyanova1, A. V. Dubovoi2, A. V. Bervitskii2, D. V. Parshin1
1Lavrent'ev Institute of Hydrodynamics, Siberian Branch, Russian Academy of Sciences, Novosibirsk, 630090 Russia
2Federal Neurosurgical Center, Novosibirsk, 630048 Russia
Keywords: particle swarm method, vascular anastomosis, optimization of hemodynamic parameters
Abstract
Bypass surgery is widely used in the treatment of cardiovascular diseases. The problem of optimal location of cerebral vascular anastomosis is considered. An electrical circuit model of circulation of large cerebral vessels is constructed whose optimal parameters are determined numerically using swarm intelligence methods. The objective optimization function was taken to be the pressure after shunting compared with the pressure before surgery. This method was first used to solve the problem of formation of cerebral vascular anastomoses. It is shown that the obtained the results are in good agreement with the data of real surgeries.
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