X-ray Cherenkov-luminescence tomography reconstruction with a three-component deep learning algorithm: Swin transformer, convolutional neural network, and locality module.

Jinchao FengHu ZhangMengfan GengHanliang ChenKebin JiaZhonghua SunZhe LiCao Xu Brian W Pogue

Published in: Journal of biomedical optics (2023)

This study shows that the three-component deep learning algorithm provides an effective reconstruction method for x-ray Cherenkov-luminescence tomography.

Keyphrases

deep learning
convolutional neural network
artificial intelligence
electron microscopy
high resolution
machine learning
quantum dots
dual energy
energy transfer
computed tomography
magnetic resonance imaging
magnetic resonance
mass spectrometry
contrast enhanced