Field synthesis for the optimal treatment planning in Magnetic Fluid Hyperthermia

• Autorzy: Di Barba P. , Dughiero F. , Sieni E.
• Języki publikacji: EN

Abstrakty

EN

An automated procedure based on evolutionary computation and Finite Element Analysis (FEA) is proposed to synthesize the optimal distribution of nanoparticles (NPs) in multi-site injection for a Magnetic Fluid Hyperthermia (MFH) therapy. Evolution Strategy and Non dominated Sorting Genetic Algorithm (NSGA) are used as optimization procedures coupled with a Finite Element computation tool.

Słowa kluczowe

EN

evolutionary algorithms; finite element analysis; magnatic fluid hyperthermia; optimal synthesis; coupled fields

PL

analiza elementów skończonych; przegrzanie cieczy ferromagnetycznej; optymalna reakcja

• Wydawca: Polish Academy of Sciences, Committee on Electrical Engineering
• Czasopismo: Archives of Electrical Engineering
• Rocznik: 2012
• Tom: Vol. 61, nr 1
• Strony: 57--67
• Opis fizyczny: Bibliogr. 24 poz., tab., rys.

Twórcy

autor

Di Barba P.

autor

Dughiero F.

autor

Sieni E.

• Departament of Electrical Engineering, University of Pavia via Ferrata, Italy,

Bibliografia

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