GND-PCA-Based Statistical Modeling of Diaphragm Motion Extracted from 4D MRI

We analyzed a statistical model of diaphragm motion using regular principal component analysis (PCA) and generalized N-dimensional PCA (GND-PCA). First, we generate 4D MRI of respiratory motion from 2D MRI using an intersection profile method. We then extract semiautomatically the diaphragm boundary...

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Detalles Bibliográficos
Autores principales: Swastika, Windra, Masuda, Yoshitada, Xu, Rui, Kido, Shoji, Chen, Yen-Wei, Haneishi, Hideaki
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi Publishing Corporation 2013
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3677614/
https://www.ncbi.nlm.nih.gov/pubmed/23781274
http://dx.doi.org/10.1155/2013/482941

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3677614/
https://www.ncbi.nlm.nih.gov/pubmed/23781274
http://dx.doi.org/10.1155/2013/482941

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