A Noise Reduction Algorithm Applied to PET Systems

In order to achieve high-precision measurement of positron emission tomography systems, an algorithm combines empirical mode decomposition and wavelet transform is proposed to decompose and reconstruct the noisy scintillation pulse signals, and to improve the energy resolution of the system by increasing the system signal-to-noise ratio. The proposed algorithm can improve the signal-to-noise ratio from 27.65 to 36.20, which is better than RC low-pass filtering algorithm, and can improve the energy resolution of the PET system by 0.19 percentage points to 13.08%.