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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...
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 |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer Berlin Heidelberg
2022
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Materias: | |
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 |
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