Research on the optimization of electrode array layout for tumor treating fields in non-small cell lung cancer treatment
In order to optimize the arrangement of electrode array and increase the intensity of tumor treating fields(TTF),the tumor proliferation was inhibited more effectively.An electrode-perceptive adaptive(EPA)algorithm based on swarm intelligence algo-rithm was proposed to optimize the four sets placement of electrode arrays in the chest area,and enhance the electric field intensity dur-ing treatment.The EPA algorithm dynamically adjusted the layout of electrode arrays through iterative search to maximize the electric field intensity at the tumor site,thus improved the effectiveness of TTF treatment.In the simulation experiments,the optimized elec-trode array layout obtained by EPA algorithm was compared with the conventional layout.The experimental results demonstrate a signifi-cant increase in the average electric field intensity at the tumor site with the EPA optimized layout compared with the conventional lay-out.
Tumor treating fieldsElectrode-perceptive adaptive algorithmElectrode arrayElectric field intensity
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