Validation of Deep-Learning Image Reconstruction for Low-Dose Chest Computed Tomography Scan: Emphasis on Image Quality and Noise

OBJECTIVE: Iterative reconstruction degrades image quality. Thus, further advances in image reconstruction are necessary to overcome some limitations of this technique in low-dose computed tomography (LDCT) scan of the chest. Deep-learning image reconstruction (DLIR) is a new method used to reduce d...

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Detalles Bibliográficos
Autores principales: Kim, Joo Hee, Yoon, Hyun Jung, Lee, Eunju, Kim, Injoong, Cha, Yoon Ki, Bak, So Hyeon
Formato: Online Artículo Texto
Lenguaje:English
Publicado: The Korean Society of Radiology 2021
Materias:
Thoracic Imaging
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7772377/
https://www.ncbi.nlm.nih.gov/pubmed/32729277
http://dx.doi.org/10.3348/kjr.2020.0116

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7772377/
https://www.ncbi.nlm.nih.gov/pubmed/32729277
http://dx.doi.org/10.3348/kjr.2020.0116

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