Gaussian mixture model for texture characterization with application to brain DTI images

A Gaussian mixture model (GMM)-based classification technique is employed for a quantitative global assessment of brain tissue changes by using pixel intensities and contrast generated by b-values in diffusion tensor imaging (DTI). A hemisphere approach is also proposed. A GMM identifies the variabi...

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Detalles Bibliográficos
Autores principales: Moraru, Luminita, Moldovanu, Simona, Dimitrievici, Lucian Traian, Dey, Nilanjan, Ashour, Amira S., Shi, Fuqian, Fong, Simon James, Khan, Salam, Biswas, Anjan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2019
Materias:
Original Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6413310/
https://www.ncbi.nlm.nih.gov/pubmed/30899585
http://dx.doi.org/10.1016/j.jare.2019.01.001

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6413310/
https://www.ncbi.nlm.nih.gov/pubmed/30899585
http://dx.doi.org/10.1016/j.jare.2019.01.001

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