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 Научная публикация

Журнал

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

Вых. Данные

Год: 2022, Том: 63, Номер: 4, Страницы: 606-613 Страниц : 8 DOI: 10.1134/s0021894422040071

Ключевые слова

optimization of hemodynamic parameters; particle swarm method; vascular bypass

Авторы

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

Организации

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

Поступила в редакцию:	1 янв. 2021 г.
Принята к публикации:	27 сент. 2021 г.
Опубликована в печати:	21 окт. 2022 г.

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

БД	Цитирований
РИНЦ	2