Reduction of Compton Background Noise for X-ray Fluorescence Computed Tomography with Deep Learning

Reduction of Compton Background Noise for X-ray Fluorescence Computed Tomography with Deep Learning

For bench-top X-ray fluorescence computed tomography (XFCT), the X-ray tube source will bring extreme Compton background noise, resulting in a low signal-to-noise ratio and low contrast detection limit. In this paper, a noise2noise denoising algorithm based on the UNet deep learning network is propo...

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Bibliographic Details
Main Authors: Peng Feng, Yan Luo, Ruge Zhao, Pan Huang, Yonghui Li, Peng He, Bin Tang, Xiansheng Zhao
Format: Article
Language:English
Published: MDPI AG 2022-02-01
Series:Photonics
Subjects:
XFCT
Compton background noise
UNet network
noise2noise model
Online Access:https://www.mdpi.com/2304-6732/9/2/108

Internet

https://www.mdpi.com/2304-6732/9/2/108

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