Clinical Feasibility of Deep Learning-Based Image Reconstruction on Coronary Computed Tomography Angiography

This study evaluated the feasibility of deep-learning-based image reconstruction (DLIR) on coronary computed tomography angiography (CCTA). By using a 20 cm water phantom, the noise reduction ratio and noise power spectrum were evaluated according to the different reconstruction methods. Then 46 pat...

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Detalles Bibliográficos
Autores principales: Koo, Seul Ah, Jung, Yunsub, Um, Kyoung A, Kim, Tae Hoon, Kim, Ji Young, Park, Chul Hwan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10219179/
https://www.ncbi.nlm.nih.gov/pubmed/37240607
http://dx.doi.org/10.3390/jcm12103501

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10219179/
https://www.ncbi.nlm.nih.gov/pubmed/37240607
http://dx.doi.org/10.3390/jcm12103501

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