Deep learning-based reconstruction on cardiac CT yields distinct radiomic features compared to iterative and filtered back projection reconstructions

We aimed to determine the effects of deep learning-based reconstruction (DLR) on radiomic features obtained from cardiac computed tomography (CT) by comparing with iterative reconstruction (IR), and filtered back projection (FBP). A total of 284 consecutive patients with 285 cardiac CT scans that we...

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Detalles Bibliográficos
Autores principales: Chun, Sei Hyun, Suh, Young Joo, Han, Kyunghwa, Kwon, Yonghan, Kim, Aaron Youngjae, Choi, Byoung Wook
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9452656/
https://www.ncbi.nlm.nih.gov/pubmed/36071138
http://dx.doi.org/10.1038/s41598-022-19546-1

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9452656/
https://www.ncbi.nlm.nih.gov/pubmed/36071138
http://dx.doi.org/10.1038/s41598-022-19546-1

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