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Updated: Feb 7, 2026

A Dual Tracer PET-MRI Protocol for the Quantitative Measure of Regional Brain Energy Substrates Uptake in the Rat
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A Dual Tracer PET-MRI Protocol for the Quantitative Measure of Regional Brain Energy Substrates Uptake in the Rat

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对长轴视野PET/CT深度学习对应注册框架的验证,在各种标志物中使用低辐射暴露协议

Zekai Li1, Laura Providência2, Philipp Mohr2

  • 1Department of Nuclear Medicine and Molecular Imaging, University of Groningen, University Medical Center Groningen, Groningen, The Netherlands; z.l.li@umcg.nl.

Journal of nuclear medicine : official publication, Society of Nuclear Medicine
|February 5, 2026
PubMed
概括

一个深度学习框架准确地调整PET/CT扫描使用低剂量PET和超低剂量CT (ULD-CT) 在长轴视野 (LAFOV) 系统. 这种联合注册方法在各种标记物和减少辐射暴露协议中是稳健的.

关键词:
人工智能的人工智能是人工智能.减弱纠正的纠正减弱纠正定子发射断层扫描 (PET).在注册注册注册注册注册注册注册.

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