Assessment of Image Quality of Coronary CT Angiography Using Deep Learning-Based CT Reconstruction: Phantom and Patient Studies

Background: In coronary computed tomography angiography (CCTA), the main issue of image quality is noise in obese patients, blooming artifacts due to calcium and stents, high-risk coronary plaques, and radiation exposure to patients. Objective: To compare the CCTA image quality of deep learning-base...

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Detalles Bibliográficos
Autores principales: Jeon, Pil-Hyun, Jeon, Sang-Hyun, Ko, Donghee, An, Giyong, Shim, Hackjoon, Otgonbaatar, Chuluunbaatar, Son, Kihong, Kim, Daehong, Ko, Sung Min, Chung, Myung-Ae
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10252561/
https://www.ncbi.nlm.nih.gov/pubmed/37296714
http://dx.doi.org/10.3390/diagnostics13111862

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10252561/
https://www.ncbi.nlm.nih.gov/pubmed/37296714
http://dx.doi.org/10.3390/diagnostics13111862

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