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Updated: Aug 13, 2026

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将深度学习与动态模型结合起来,预测动态PET图像并生成参数图像

Ganglin Liang1,2, Jinpeng Zhou3, Zixiang Chen1

  • 1Lauterbur Research Center for Biomedical Imaging, Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen, 518055, China.

EJNMMI physics
|October 24, 2023
PubMed
概括

这项研究引入了一种深度学习方法,可以在30分钟内生成精确的动态正子发射断层扫描 (PET) 图像,改善信号噪声比 (SNR) 并减少扫描时间,以获得更好的临床诊断.

关键词:
深度学习是一种深度学习.动态PET图像 动态PET图像图像生成 图像生成运动模型的动力模型.参数成像是指参数成像.

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Positron emission tomography (PET) is a medical imaging technique involving radiopharmaceuticals — substances that emit short-lived radiation. Although the first PET scanner was introduced in 1961, it took 15 more years before radiopharmaceuticals were combined with the technique and revolutionized its potential.
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