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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Enregistré dans:
Détails bibliographiques
Publié dans:J Appl Physiol (1985)
Auteurs principaux: 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.
Format: Artigo
Langue:Inglês
Publié: American Physiological Society 2014
Sujets:
Innovative Methodology
Accès en ligne: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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