Is There Any Improvement in Image Quality in Obese Patients When Using a New X-ray Tube and Deep Learning Image Reconstruction in Coronary Computed Tomography Angiography?

Deep learning image reconstruction (DLIR) is a technique that should reduce noise and improve image quality. This study assessed the impact of using both higher tube currents as well as DLIR on the image quality and diagnostic accuracy. The study consisted of 51 symptomatic obese (BMI > 30 kg/m(2...

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Detalles Bibliográficos
Autores principales: Pfeffer, Anne-Sofie Brunebjerg, Mørup, Svea Deppe, Andersen, Thomas Rueskov, Mohamed, Roda Abdulkadir, Lambrechtsen, Jess
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9503813/
https://www.ncbi.nlm.nih.gov/pubmed/36143464
http://dx.doi.org/10.3390/life12091428

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9503813/
https://www.ncbi.nlm.nih.gov/pubmed/36143464
http://dx.doi.org/10.3390/life12091428

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