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

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

Journal

Journal of Applied Mechanics and Technical Physics
ISSN: 0021-8944

Output data

Year: 2022, Volume: 63, Number: 4, Pages: 606-613 Pages count : 8 DOI: 10.1134/s0021894422040071

Tags

optimization of hemodynamic parameters; particle swarm method; vascular bypass

Authors

Kuyanova Yu.O. ¹ , Dubovoi A.V. ² , Bervitskii A.V. ² , Parshin D.V. ¹

Affiliations

1	Lavrentyev Institute of Hydrodynamics
2	Federal Neurosurgical Center

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.

Kuyanova Y.O. , Dubovoi A.V. , Bervitskii A.V. , Parshin D.V.
NUMERICAL OPTIMIZATION OF GEOMETRIC CHARACTERISTICS OF VASCULAR BYPASS USING SWARM INTELLIGENCE METHODS IN NEUROSURGERY
Journal of Applied Mechanics and Technical Physics. 2022. V.63. N4. P.606-613. DOI: 10.1134/s0021894422040071 WOS Scopus РИНЦ OpenAlex

Submitted:	Jan 1, 2021
Accepted:	Sep 27, 2021
Published print:	Oct 21, 2022

Web of science:	WOS:000871080000007
Scopus:	2-s2.0-85140328865
Elibrary:	51627145
OpenAlex:	W4312659286

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