Atlas-based lung segmentation combined with automatic densitometry characterization in COVID-19 patients: Training, validation and first application in a longitudinal study

PURPOSE: To develop and validate an automated segmentation tool for COVID-19 lung CTs. To combine it with densitometry information in identifying Aerated, Intermediate and Consolidated Volumes in admission (CT1) and follow up CT (CT3). MATERIALS AND METHODS: An Atlas was trained on manually segmente...

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Detalles Bibliográficos
Autores principales: Mori, Martina, Alborghetti, Lisa, Palumbo, Diego, Broggi, Sara, Raspanti, Davide, Rovere Querini, Patrizia, Del Vecchio, Antonella, De Cobelli, Francesco, Fiorino, Claudio
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Associazione Italiana di Fisica Medica e Sanitaria. Published by Elsevier Ltd. 2022
Materias:
Original Paper
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9250926/
https://www.ncbi.nlm.nih.gov/pubmed/35839667
http://dx.doi.org/10.1016/j.ejmp.2022.06.018

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9250926/
https://www.ncbi.nlm.nih.gov/pubmed/35839667
http://dx.doi.org/10.1016/j.ejmp.2022.06.018

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