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Comparison of two global optimization techniques for hyperthermia treatment planning of breast cancer: Coupled electromagnetic and thermal simulation study
, Divya Baskaran
Published in Institute of Electrical and Electronics Engineers Inc.
2020
Abstract
The performance of the genetic algorithm (GA) and particle swarm optimization (PSO) was compared to identify the best-suited algorithm for hyperthermia treatment planning (HTP) of breast cancer. Both algorithms were tested on four heterogeneous patient breast models derived from magnetic resonance (MR) images. Electromagnetic (EM) simulations indicate that PSO induces 5.7% less hotspot to target quotient (HTQ) compared to GA. However, coupled EM and thermal simulations of four patient models indicate that GA based HTP induces 1.25 °C - 3.87 °C higher average temperature in cancer tissue with limited thermal hotspots in healthy tissue when compared to PSO algorithm. This was observed to be due to the low power level assigned to each channel by PSO compared to GA. Coupled simulations of heterogeneous patient models indicate GA is a better global optimization algorithm for HTP of breast cancer. © 2020 IEEE.
About the journal
JournalData powered by Typeset2020 IEEE MTT-S International Microwave Biomedical Conference, IMBioC 2020
PublisherData powered by TypesetInstitute of Electrical and Electronics Engineers Inc.
Open AccessNo