Improved digital chest tomosynthesis image quality by use of a projection-based dual-energy virtual monochromatic convolutional neural network with super resolution

We developed a novel dual-energy (DE) virtual monochromatic (VM) very-deep super-resolution (VDSR) method with an unsharp masking reconstruction algorithm (DE–VM–VDSR) that uses projection data to improve the nodule contrast and reduce ripple artifacts during chest digital tomosynthesis (DT). For es...

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Detalles Bibliográficos
Autores principales: Gomi, Tsutomu, Hara, Hidetake, Watanabe, Yusuke, Mizukami, Shinya
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2020
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7774945/
https://www.ncbi.nlm.nih.gov/pubmed/33382766
http://dx.doi.org/10.1371/journal.pone.0244745

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7774945/
https://www.ncbi.nlm.nih.gov/pubmed/33382766
http://dx.doi.org/10.1371/journal.pone.0244745

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