PRC-TP combines an nnFormer network trained on Monte Carlo simulations with Model-consistent Texture Re-Injection to correct positron range effects in 82Rb PET while restoring acquisition-consistent texture.
Noise properties of the em algorithm. i. theory,
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A Positron Range Correction with Texture Preservation Framework in PET Imaging
PRC-TP combines an nnFormer network trained on Monte Carlo simulations with Model-consistent Texture Re-Injection to correct positron range effects in 82Rb PET while restoring acquisition-consistent texture.