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Kinetic model-informed deep learning for multiplexed PET image separation | Synapse

July 1, 2024Open Access

Kinetic model-informed deep learning for multiplexed PET image separation

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Multiplexed positron emission tomography (mPET) imaging can measure physiological and pathological information from different tracers simultaneously in a single scan. Separation of the multiplexed PET signals within a single PET scan is challenging due to the fact that each tracer gives rise to indistinguishable 511 keV photon pairs, and thus no unique energy information for differentiating the source of each photon pair.

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Cite This Study

Pan et al. (Mon,) studied this question.

synapsesocial.com/papers/68e61caeb6db6435875af380 https://doi.org/https://doi.org/10.1186/s40658-024-00660-0

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