PET image segmentation using a Gaussian mixture model and Markov random fields

BACKGROUND: Classification algorithms for positron emission tomography (PET) images support computational treatment planning in radiotherapy. Common clinical practice is based on manual delineation and fixed or iterative threshold methods, the latter of which requires regression curves dependent on...

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Publicado en:EJNMMI Phys
Autores principales: Layer, Thomas, Blaickner, Matthias, Knäusl, Barbara, Georg, Dietmar, Neuwirth, Johannes, Baum, Richard P, Schuchardt, Christiane, Wiessalla, Stefan, Matz, Gerald
Formato: Artigo
Lenguaje:Inglês
Publicado: Springer International Publishing 2015
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Research Article
Acceso en línea:https://ncbi.nlm.nih.gov/pmc/articles/PMC4545759/
https://ncbi.nlm.nih.gov/pubmed/26501811
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/s40658-015-0110-7
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