Automatic lung segmentation in functional SPECT images using active shape models trained on reference lung shapes from CT

OBJECTIVE: Image segmentation is an essential step in quantifying the extent of reduced or absent lung function. The aim of this study is to develop and validate a new tool for automatic segmentation of lungs in ventilation and perfusion SPECT images and compare automatic and manual SPECT lung segme...

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Detalles Bibliográficos
Autores principales: Cheimariotis, Grigorios-Aris, Al-Mashat, Mariam, Haris, Kostas, Aletras, Anthony H., Jögi, Jonas, Bajc, Marika, Maglaveras, Nicolaos, Heiberg, Einar
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Japan 2017
Materias:
Original Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5797204/
https://www.ncbi.nlm.nih.gov/pubmed/29236220
http://dx.doi.org/10.1007/s12149-017-1223-y

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5797204/
https://www.ncbi.nlm.nih.gov/pubmed/29236220
http://dx.doi.org/10.1007/s12149-017-1223-y

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