arXiv (OAI Expanded)
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Manifold-Constrained PET Reconstruction with Learned Flow-Matching Priors
Image reconstruction for positron emission tomography (PET) is an ill-posed Poisson inverse problem that often suffers from severe noise amplification and artifacts. In this work, we introduce an unsupervised, optimization-based reconstruction framework that employs a flow-matching generative model
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