MRI lung lobe segmentation in pediatric cystic fibrosis patients using a recurrent neural network trained with publicly accessible CT datasets

PURPOSE: To introduce a widely applicable workflow for pulmonary lobe segmentation of MR images using a recurrent neural network (RNN) trained with chest CT datasets. The feasibility is demonstrated for 2D coronal ultrafast balanced SSFP (ufSSFP) MRI. METHODS: Lung lobes of 250 publicly accessible C...

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Detalles Bibliográficos
Autores principales: Pusterla, Orso, Heule, Rahel, Santini, Francesco, Weikert, Thomas, Willers, Corin, Andermatt, Simon, Sandkühler, Robin, Nyilas, Sylvia, Latzin, Philipp, Bieri, Oliver, Bauman, Grzegorz
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2022
Materias:
Research Articles—Computer Processing and Modeling
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9314108/
https://www.ncbi.nlm.nih.gov/pubmed/35348244
http://dx.doi.org/10.1002/mrm.29184

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9314108/
https://www.ncbi.nlm.nih.gov/pubmed/35348244
http://dx.doi.org/10.1002/mrm.29184

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