Semiautomatic segmentation of longitudinal computed tomography images in a rat model of lung injury by surfactant depletion

Quantitative analysis of computed tomography (CT) is essential to the study of acute lung injury. However, quantitative CT is made difficult by poor lung aeration, which complicates the critical step of image segmentation. To overcome this obstacle, this study sought to develop and validate a semiau...

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Detalhes bibliográficos
Publicado no:J Appl Physiol (1985)
Main Authors: Xin, Yi, Song, Gang, Cereda, Maurizio, Kadlecek, Stephen, Hamedani, Hooman, Jiang, Yunqing, Rajaei, Jennia, Clapp, Justin, Profka, Harrilla, Meeder, Natalie, Wu, Jue, Tustison, Nicholas J., Gee, James C., Rizi, Rahim R.
Formato: Artigo
Idioma:Inglês
Publicado em: American Physiological Society 2014
Assuntos:
Innovative Methodology
Acesso em linha:https://ncbi.nlm.nih.gov/pmc/articles/PMC4312845/
https://ncbi.nlm.nih.gov/pubmed/25640150
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1152/japplphysiol.00627.2014
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