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Updated: Jul 5, 2025

Lens-free Video Microscopy for the Dynamic and Quantitative Analysis of Adherent Cell Culture
09:04

Lens-free Video Microscopy for the Dynamic and Quantitative Analysis of Adherent Cell Culture

Published on: February 23, 2018

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深度学习用于在稀疏频率偏移下从CEST图像中重建密集的Z光谱

Gang Xiao1, Xiaolei Zhang2, Hanjing Tang3

  • 1School of Mathematics and Statistics, Hanshan Normal University, Chaozhou, China.

Frontiers in neuroscience
|January 22, 2024
PubMed
概括

这项研究引入了一个深度学习框架,用于从更少的图像中重建详细的化学交换和转移 (CEST) -磁共振成像 (MRI) 数据. 这种方法可以显著减少扫描时间,因为它可以从稀疏的数据中准确地重建.

关键词:
化学交换和转移化学交换和转移深度学习是一种深度学习.密集的Z光谱重建序列对序列的框架.频率偏差的偏差是稀有的.

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