Tissue damage-tracking control system for image-guided photothermal therapy of cancer

Photothermal therapy (PTT) is a type of cancer treatment capable damaging tumors using laser irradiation. This procedure can be promising approach to complement current therapies, due in part its minimal invasiveness. One the challenges photothermal potential collateral damage surrounding healthy tissue, as well excessive temperature increase target tumor region that cause tissue carbonization and evaporation. With aim increasing performance targeted while keeping nearby unaffected, this research proposes use feedback control system considers cumulative thermal both types tissue. Two separate algorithms (fuzzy logic PI) were designed tested silico simulations made MATLAB® Python. Results showed controllers successfully accomplished proposed goals. Therefore, feasibility these automated systems improve efficacy safety PTT was demonstrated.