Non-parametric representation and prediction of single- and multi-shell diffusion-weighted MRI data using Gaussian processes

Diffusion MRI offers great potential in studying the human brain microstructure and connectivity. However, diffusion images are marred by technical problems, such as image distortions and spurious signal loss. Correcting for these problems is non-trivial and relies on having a mechanism that predict...

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Detalles Bibliográficos
Autores principales: Andersson, Jesper L.R., Sotiropoulos, Stamatios N.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Academic Press 2015
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4627362/
https://www.ncbi.nlm.nih.gov/pubmed/26236030
http://dx.doi.org/10.1016/j.neuroimage.2015.07.067

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4627362/
https://www.ncbi.nlm.nih.gov/pubmed/26236030
http://dx.doi.org/10.1016/j.neuroimage.2015.07.067

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