Research on anti-noise performance of Digital Phase Sensitive Detection Algorithm in Magnetic Nanoparticle Thermometer

In a magnetic nanoparticle-mediated hyperthermia, the temperature is a key factor for thermal therapy to treat cancer. A harmonic amplitude detection algorithm determines the measurement accuracy of magnetic nanoparticle thermometer. In this paper, we introduce a harmonic detection algorithm, digital phase sensitive detection (DPSD), study DPSD how to affect the measurement accuracy of magnetic nanoparticle thermometer, and analyze the anti-noise performance of DPSD, including the static magnetic noise, industrial frequency magnetic noise, higher frequency magnetic noise, and Gauss noise. The optimum system parameters are proposed, and verified in numerical simulation experiments by use of MATLAB. The simulation results show that the DPSD with optimum system parameter can attach a high measurement accuracy of magnetic nanoparticle thermometer.