Lung Segmentation in 4D CT Volumes Based on Robust Active Shape Model Matching

Dynamic and longitudinal lung CT imaging produce 4D lung image data sets, enabling applications like radiation treatment planning or assessment of response to treatment of lung diseases. In this paper, we present a 4D lung segmentation method that mutually utilizes all individual CT volumes to deriv...

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Detalles Bibliográficos
Autores principales: Gill, Gurman, Beichel, Reinhard R.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi Publishing Corporation 2015
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4618332/
https://www.ncbi.nlm.nih.gov/pubmed/26557844
http://dx.doi.org/10.1155/2015/125648

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4618332/
https://www.ncbi.nlm.nih.gov/pubmed/26557844
http://dx.doi.org/10.1155/2015/125648

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