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

该建议是一个新愿景的一部分，其中数字信号和数据处理，人工智能和分布式模块化分析可以大大提高正电子发射断层扫描（PET）的内在性能和最终用户灵活性，这是一种共生和相互依赖的愿景，依赖于通常的技术进步，对系统级问题的理解和社会经济效率约束。在短期内，该研究计划将减轻灵活性范例的压力，这些范例是其他分辨率，TOF和探测器突破的副作用。从中长期来看，通过对现有技术的创新补充，这一愿景将使所有PET最终用户受益，通过新的放射性示踪剂或新的常规护理和研究方案的出现，帮助这种分子和基因组成像模式在未来几十年继续发展。

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.