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Updated: Jan 30, 2026

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生成型深度学习从低数直接规范化数据合成PET的高信号噪声比灵敏度图

Mojtaba Jafaritadi1, Andrew Groll2, Myungheon Chin3

  • 1Radiology, Stanford University, James H. Clark Center, 318 Campus Drive,, Stanford, Stanford , California, 94305-5427, UNITED STATES.

Physics in medicine and biology
|January 28, 2026
PubMed
概括

一个新的深度学习框架显著改善了正电子发射断层扫描 (PET) 图像正常化. 这种方法从低计数数据中生成高信号噪声比 (SNR) 规范化因子,使得PET扫描更快,更准确.

关键词:
直接规范化 直接规范化生成性的对抗性网络.图像重建 图像的重建阳位电子发射断层扫描技术 (PET)

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