Deep learning image reconstruction algorithm: impact on image quality in coronary computed tomography angiography

PURPOSE: To perform a comprehensive intraindividual objective and subjective image quality evaluation of coronary CT angiography (CCTA) reconstructed with deep learning image reconstruction (DLIR) and to assess correlation with routinely applied hybrid iterative reconstruction algorithm (ASiR-V). MA...

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Detalles Bibliográficos
Autores principales: De Santis, Domenico, Polidori, Tiziano, Tremamunno, Giuseppe, Rucci, Carlotta, Piccinni, Giulia, Zerunian, Marta, Pugliese, Luca, Del Gaudio, Antonella, Guido, Gisella, Barbato, Luca, Laghi, Andrea, Caruso, Damiano
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Milan 2023
Materias:
Cardiac Radiology
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10119038/
https://www.ncbi.nlm.nih.gov/pubmed/36847992
http://dx.doi.org/10.1007/s11547-023-01607-8

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10119038/
https://www.ncbi.nlm.nih.gov/pubmed/36847992
http://dx.doi.org/10.1007/s11547-023-01607-8

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