Radiation dose reduction with deep-learning image reconstruction for coronary computed tomography angiography

OBJECTIVES: Deep-learning image reconstruction (DLIR) offers unique opportunities for reducing image noise without degrading image quality or diagnostic accuracy in coronary CT angiography (CCTA). The present study aimed at exploiting the capabilities of DLIR to reduce radiation dose and assess its...

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Detalles Bibliográficos
Autores principales: Benz, Dominik C., Ersözlü, Sara, Mojon, François L. A., Messerli, Michael, Mitulla, Anna K., Ciancone, Domenico, Kenkel, David, Schaab, Jan A., Gebhard, Catherine, Pazhenkottil, Aju P., Kaufmann, Philipp A., Buechel, Ronny R.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Berlin Heidelberg 2021
Materias:
Cardiac
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8921160/
https://www.ncbi.nlm.nih.gov/pubmed/34792635
http://dx.doi.org/10.1007/s00330-021-08367-x

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8921160/
https://www.ncbi.nlm.nih.gov/pubmed/34792635
http://dx.doi.org/10.1007/s00330-021-08367-x

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