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NUMERICAL OPTIMIZATION OF GEOMETRIC CHARACTERISTICS OF VASCULAR BYPASS USING SWARM INTELLIGENCE METHODS IN NEUROSURGERY

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Journal of Applied Mechanics and Technical Physics Aims and scope

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 analogue of circulation in major cerebral vessels is constructed whose optimal parameters are determined numerically using swarm intelligence methods. The objective optimization function is taken to be the pressure after shunting compared with the pressure before surgery. This method is first used to solve the problem of the formation of cerebral vascular bypasses. It is shown that the obtained results are in good agreement with the data of real surgeries.

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Authors and Affiliations

  1. Lavrent’ev Institute of Hydrodynamics, Siberian Branch, Russian Academy of Sciences, 630090, Novosibirsk, Russia

    Yu. O. Kuyanova & D. V. Parshin

  2. Federal Neurosurgical Center, 630048, Novosibirsk, Russia

    A. V. Dubovoi & A. V. Bervitskii

Authors
  1. Yu. O. Kuyanova
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  2. A. V. Dubovoi
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  3. A. V. Bervitskii
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  4. D. V. Parshin
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Corresponding author

Correspondence to D. V. Parshin.

Additional information

Translated from Prikladnaya Mekhanika i Tekhnicheskaya Fizika, 2021, Vol. 63, No. 4, pp. 64-72. https://doi.org/10.15372/PMTF20220407.

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Kuyanova, Y.O., Dubovoi, A.V., Bervitskii, A.V. et al. NUMERICAL OPTIMIZATION OF GEOMETRIC CHARACTERISTICS OF VASCULAR BYPASS USING SWARM INTELLIGENCE METHODS IN NEUROSURGERY. J Appl Mech Tech Phy 63, 606–613 (2022). https://doi.org/10.1134/S0021894422040071

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  • DOI: https://doi.org/10.1134/S0021894422040071

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