Noise2Noise Improved by Trainable Wavelet Coefficients for PET Denoising

Noise2Noise Improved by Trainable Wavelet Coefficients for PET Denoising

The significant statistical noise and limited spatial resolution of positron emission tomography (PET) data in sinogram space results in the degradation of the quality and accuracy of reconstructed images. Although high-dose radiotracers and long acquisition times improve the PET image quality, the...

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Bibliographic Details
Main Authors: Seung-Kwan Kang, Si-Young Yie, Jae-Sung Lee
Format: Article
Language:English
Published: MDPI AG 2021-06-01
Series:Electronics
Subjects:
positron emission tomography (PET)
denoising
wavelet transform
deep learning
artificial neural network
Online Access:https://www.mdpi.com/2079-9292/10/13/1529

Internet

https://www.mdpi.com/2079-9292/10/13/1529

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