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Fig. 4 | EJNMMI Research

Fig. 4

From: ParaPET: non-invasive deep learning method for direct parametric brain PET reconstruction using histoimages

Fig. 4

Testing of the LSTM using denoised dynamic images obtained from the a Noise2Noise network (at position c in Fig. 1), and using b the image derived AIF masked using a vasculature atlas (threshold set at > 0.8) to identify highly probable regions for arterial vasculature. After feeding these as input into the pretrained LSTM kinetic parameters are produced, which are used to reconstruct c dynamic images. Parametric images are further processed using d an unsupervised deep image prior and e denoised version of dynamic images based on having denoised individual parametric images

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