Automated detection of the contrast phase in MDCT by an artificial neural network improves the accuracy of opportunistic bone mineral density measurements

OBJECTIVES: To determine the accuracy of an artificial neural network (ANN) for fully automated detection of the presence and phase of iodinated contrast agent in routine abdominal multidetector computed tomography (MDCT) scans and evaluate the effect of contrast correction for osteoporosis screenin...

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Detalles Bibliográficos
Autores principales: Rühling, Sebastian, Navarro, Fernando, Sekuboyina, Anjany, El Husseini, Malek, Baum, Thomas, Menze, Bjoern, Braren, Rickmer, Zimmer, Claus, Kirschke, Jan S.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Berlin Heidelberg 2021
Materias:
Musculoskeletal
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8831336/
https://www.ncbi.nlm.nih.gov/pubmed/34687347
http://dx.doi.org/10.1007/s00330-021-08284-z

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8831336/
https://www.ncbi.nlm.nih.gov/pubmed/34687347
http://dx.doi.org/10.1007/s00330-021-08284-z

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