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...
Main Authors: | , , , , , , , |
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Format: | Article |
Language: | English |
Published: |
MDPI AG
2022-02-01
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Series: | Photonics |
Subjects: | |
Online Access: | https://www.mdpi.com/2304-6732/9/2/108 |