Improvement in Image Quality and Visibility of Coronary Arteries, Stents, and Valve Structures on CT Angiography by Deep Learning Reconstruction

OBJECTIVE: This study aimed to investigate whether a deep learning reconstruction (DLR) method improves the image quality, stent evaluation, and visibility of the valve apparatus in coronary computed tomography angiography (CCTA) when compared with filtered back projection (FBP) and hybrid iterative...

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Detalles Bibliográficos
Autores principales: Otgonbaatar, Chuluunbaatar, Ryu, Jae-Kyun, Shin, Jaemin, Woo, Ji Young, Seo, Jung Wook, Shim, Hackjoon, Hwang, Dae Hyun
Formato: Online Artículo Texto
Lenguaje:English
Publicado: The Korean Society of Radiology 2022
Materias:
Cardiovascular Imaging
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9614292/
https://www.ncbi.nlm.nih.gov/pubmed/36196766
http://dx.doi.org/10.3348/kjr.2022.0127

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9614292/
https://www.ncbi.nlm.nih.gov/pubmed/36196766
http://dx.doi.org/10.3348/kjr.2022.0127

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