Artificial intelligence, signal and data processing towards greater end-user flexibility through increased sensitivity and detection efficiency in PET imaging

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This proposal is part of a novel vision where digital signal and data processing, artificial intelligence and distributed modular analysis can substantially improve both the intrinsic performance and end-user flexibility of Positron Emission Tomography (PET), a vision symbiotic and interdependent on the usual advances in technology, comprehension of system-level issues and socio-economic efficiency constraints. In the short term, the research program will mitigate the pressure on the flexibility paradigm emerging as side-effects of other resolution, TOF and detector breakthroughs. In the mid to long term, the vision will uniquely benefit all PET end-users through innovative complements to existing technology, helping this molecular and genomic imaging modality continue to grow in the next decades through the emergence of new radiotracers or new routine care and research protocols.