Regional SUV quantification in hybrid PET/MR, a comparison of two atlas-based automatic brain segmentation methods

BACKGROUND: Quantitative analysis of brain positron-emission tomography (PET) depends on structural segmentation, which can be time-consuming and operator-dependent when performed manually. Previous automatic segmentation usually registered subjects’ images onto an atlas template (defined as RSIAT h...

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Detalles Bibliográficos
Autores principales: Ruan, Weiwei, Sun, Xun, Hu, Xuehan, Liu, Fang, Hu, Fan, Guo, Jinxia, Zhang, Yongxue, Lan, Xiaoli
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Berlin Heidelberg 2020
Materias:
Original Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7280441/
https://www.ncbi.nlm.nih.gov/pubmed/32514906
http://dx.doi.org/10.1186/s13550-020-00648-8

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7280441/
https://www.ncbi.nlm.nih.gov/pubmed/32514906
http://dx.doi.org/10.1186/s13550-020-00648-8

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