Impact of deep learning image reconstructions (DLIR) on coronary artery calcium quantification

BACKGROUND: Deep learning image reconstructions (DLIR) have been recently introduced as an alternative to filtered back projection (FBP) and iterative reconstruction (IR) algorithms for computed tomography (CT) image reconstruction. The aim of this study was to evaluate the effect of DLIR on image q...

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Detalles Bibliográficos
Autores principales: Rossi, Alexia, Gennari, Antonio G., Etter, Dominik, Benz, Dominik C., Sartoretti, Thomas, Giannopoulos, Andreas A., Mikail, Nidaa, Bengs, Susan, Maurer, Alexander, Gebhard, Catherine, Buechel, Ronny R., Kaufmann, Philipp A., Fuchs, Tobias A., Messerli, Michael
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Berlin Heidelberg 2022
Materias:
Cardiac
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10181951/
https://www.ncbi.nlm.nih.gov/pubmed/36480026
http://dx.doi.org/10.1007/s00330-022-09287-0

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10181951/
https://www.ncbi.nlm.nih.gov/pubmed/36480026
http://dx.doi.org/10.1007/s00330-022-09287-0

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