A joint PET reconstruction method alternating ML-EM with a learned diffeomorphic registration network achieves a 1.0 dB PSNR gain over gate-by-gate reconstruction on a synthetic 2D Derenzo phantom at near-ML-EM cost.
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Spatiotemporal PET reconstruction using ML-EM with learned diffeomorphic deformation
A joint PET reconstruction method alternating ML-EM with a learned diffeomorphic registration network achieves a 1.0 dB PSNR gain over gate-by-gate reconstruction on a synthetic 2D Derenzo phantom at near-ML-EM cost.