Cargando…
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...
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: | |
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 |
Ejemplares similares
-
The effectiveness of post-processing head and neck CT angiography using contrast enhancement boost technique
por: Otgonbaatar, Chuluunbaatar, et al.
Publicado: (2023) -
Assessment of Image Quality of Coronary CT Angiography Using Deep Learning-Based CT Reconstruction: Phantom and Patient Studies
por: Jeon, Pil-Hyun, et al.
Publicado: (2023) -
Utility of Cardiac CT for Preoperative Evaluation of Mitral Regurgitation: Morphological Evaluation of Mitral Valve and Prediction of Valve Replacement
por: Suh, Young Joo, et al.
Publicado: (2019) -
Coronary CT Angiography with Knowledge-Based Iterative Model Reconstruction for Assessing Coronary Arteries and Non-Calcified Predominant Plaques
por: Li, Tao, et al.
Publicado: (2019) -
Incremental Image Noise Reduction in Coronary CT Angiography Using a Deep Learning-Based Technique with Iterative Reconstruction
por: Hong, Jung Hee, et al.
Publicado: (2020)