Machine learning-based prediction of insufficient contrast enhancement in coronary computed tomography angiography

OBJECTIVES: Patient-tailored contrast delivery protocols strongly reduce the total iodine load and in general improve image quality in CT coronary angiography (CTCA). We aim to use machine learning to predict cases with insufficient contrast enhancement and to identify parameters with the highest pr...

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Detalles Bibliográficos
Autores principales: Lopes, R. R., van den Boogert, T. P. W., Lobe, N. H. J., Verwest, T. A., Henriques, J. P. S., Marquering, H. A., Planken, R. N.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Berlin Heidelberg 2022
Materias:
Contrast Media
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9474338/
https://www.ncbi.nlm.nih.gov/pubmed/35708840
http://dx.doi.org/10.1007/s00330-022-08901-5

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9474338/
https://www.ncbi.nlm.nih.gov/pubmed/35708840
http://dx.doi.org/10.1007/s00330-022-08901-5

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