Zhejiang University

Amanjule Muhashi

Huafeng Liu

The method for improving the coincidence time resolution of PET system based on STFT, the method obtains waveform data by setting a point source at a specific location, and then obtains a short term frequency domain amplitude information through short time Fourier transform (STFT), after that, carrying out a train set, a validation set, and a test set partitioning, and a residual neural network model composed of residual modules and a fully connected layer is used for training, achieving estimation of the TOF time of the PET system. The present invention utilizes Monte Carlo simulation experiments to perform STFT transform on waveform data to obtain the short term frequency domain amplitude information, then, a residual neural network model is trained by using the divided train set, and the trained model is tested on the validation set to obtain the trained model, finally, the accuracy of TOF time estimation based on STFT model and the improvement effect on the coincidence time resolution of PET system compared to traditional CFD methods are verified through the test set.

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HANGZHOU, China

Amanjule Muhashi