Low-Dose Abdominal CT Using a Deep Learning-Based Denoising Algorithm: A Comparison with CT Reconstructed with Filtered Back Projection or Iterative Reconstruction Algorithm

OBJECTIVE: To compare the image quality of low-dose (LD) computed tomography (CT) obtained using a deep learning-based denoising algorithm (DLA) with LD CT images reconstructed with a filtered back projection (FBP) and advanced modeled iterative reconstruction (ADMIRE). MATERIALS AND METHODS: One hu...

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Detalles Bibliográficos
Autores principales: Shin, Yoon Joo, Chang, Won, Ye, Jong Chul, Kang, Eunhee, Oh, Dong Yul, Lee, Yoon Jin, Park, Ji Hoon, Kim, Young Hoon
Formato: Online Artículo Texto
Lenguaje:English
Publicado: The Korean Society of Radiology 2020
Materias:
Technology, Experiment, and Physics
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7039719/
https://www.ncbi.nlm.nih.gov/pubmed/32090528
http://dx.doi.org/10.3348/kjr.2019.0413

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7039719/
https://www.ncbi.nlm.nih.gov/pubmed/32090528
http://dx.doi.org/10.3348/kjr.2019.0413

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