Low-dose sinogram restoration enabled by conditional GAN with cross-domain regularization in SPECT i...
Low-dose sinogram restoration enabled by conditional GAN with cross-domain regularization in SPECT imaging
About this item
Full title
Author / Creator
Li, Si , Peng, Limei , Li, Fenghuan and Liang, Zengguo
Publisher
United States: AIMS Press
Journal title
Language
English
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Publication information
Publisher
United States: AIMS Press
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Scope and Contents
Contents
In order to generate high-quality single-photon emission computed tomography (SPECT) images under low-dose acquisition mode, a sinogram denoising method was studied for suppressing random oscillation and enhancing contrast in the projection domain. A conditional generative adversarial network with cross-domain regularization (CGAN-CDR) is proposed...
Alternative Titles
Full title
Low-dose sinogram restoration enabled by conditional GAN with cross-domain regularization in SPECT imaging
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Author / Creator
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Record Identifier
TN_cdi_doaj_primary_oai_doaj_org_article_d0d3b26b883645f0b38a72caad0c8140
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_d0d3b26b883645f0b38a72caad0c8140
Other Identifiers
ISSN
1551-0018
E-ISSN
1551-0018
DOI
10.3934/mbe.2023427