Abstract
Microwave hyperthermia is a new method to treat cancer, and its therapeutic effect is directly determined by the heating temperature. Fluorescent fiber optic temperature sensors are widely used in this field due to their insulation advantages. In this paper, in order to meet the high-precision requirements of temperature detection in this field, a new weighted area ratio algorithm is implemented. According to the characteristics of random noise distribution, different weight values are superimposed on the fluorescence decay curve data to improve the signal-to-noise ratio of this algorithm. Through numerical simulation analysis, the accuracy of this algorithm is improved by about 77.6% compared with the traditional integral area ratio algorithm. Therefore, this algorithm can meet the high-precision requirements for temperature detection in the field of microwave hyperthermia.
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