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
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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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资助金额:$30.02万
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财政年份:2014
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依托单位:
Advanced computational algorithms for brain imaging studies of freely moving animals
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批准号:DP120103813
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财政年份:2012
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依托单位:
Novel imaging technologies for continuous measurement of tracer kinetics in awake animals
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批准号:DP110102912
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资助金额:$24.5万
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财政年份:2011
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依托单位:
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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依托单位:
Novel Transmission Scanning and Computational Strategies for Quantitative microPET Imaging
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财政年份:2005
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依托单位:
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