Field synthesis for the optimal treatment planning in Magnetic Fluid Hyperthermia

Archives of Electrical Engineering

Fabrizio Dughiero¹  Paolo Di Barba¹  Elisabetta Sieni¹ 

关键词: evolutionary algorithms;    finite element analysis;    magnetic fluid hyperthermia;    optimal synthesis;    coupled fields;   

DOI  :  10.2478/v10171-012-0005-3

来源: Versita

【 摘 要 】

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.

【 授权许可】

Unknown