Ultra-sensitive 3D molecular assays using total body PET and deep learning
Ultra-sensitive 3D molecular assays using total body PET and deep learning
批准号:
DP230102070
负责人:
Prof Steven Meikle
金额:
$39.84万
依托单位:
依托单位国家:
澳大利亚
项目类别:
Discovery Projects
财政年份:
2023
资助国家:
澳大利亚
项目状态:
未结题
起止时间:
2023-06-01 至 2026-05-31
中文摘要
生物医学工程的最新进展导致了全身正电子发射断层扫描(TB-PET)的发展,这是迄今为止最灵敏的成像设备。尽管这些令人印象深刻的工程进步,计算方法远远落后,基于模型的方法无法处理这些系统产生的复杂性或数据量。我们将开发基于深度学习和统计方法的新计算方法,充分利用TB-PET生成的数据的丰富性和复杂性,以无与伦比的灵敏度对整个人体的分子过程进行3D定量分析。我们创造的技术将为复杂生理系统的研究开辟新的能力。
英文摘要
Recent advances in biomedical engineering have led to the development of Total Body Positron Emission Tomography (TB-PET), the most sensitive imaging device to date. Despite these impressive engineering advances, computational methods lag far behind and model-based approaches cannot deal with the complexity or volume of data these systems produce. We will develop new computational methods based on deep learning and statistical methods that fully exploit the richness and complexity of the data generated by TB-PET, enabling 3D quantitative assays of molecular processes throughout the entire human body with unparalleled sensitivity. The technology we create will open up new capability for the study of complex physiological systems.
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Advanced computational algorithms for brain imaging studies of freely moving animals
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Novel imaging technologies for continuous measurement of tracer kinetics in awake animals
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Simultaneous measurement of brain function and behaviour in fully conscious laboratory animals
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New Imaging Instrumentation and Algorithms for the Simultaneous Measurement of Multiple Radio-labelled Probes in vivo
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Novel Transmission Scanning and Computational Strategies for Quantitative microPET Imaging
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依托单位:
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