A generalized deep learning network for fractional anisotropy reconstruction: Application to epilepsy and multiple sclerosis

Fractional anisotropy (FA) is a quantitative map sensitive to microstructural properties of tissues in vivo and it is extensively used to study the healthy and pathological brain. This map is classically calculated by model fitting (standard method) and requires many diffusion weighted (DW) images f...

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Detalles Bibliográficos
Autores principales: Gaviraghi, Marta, Ricciardi, Antonio, Palesi, Fulvia, Brownlee, Wallace, Vitali, Paolo, Prados, Ferran, Kanber, Baris, Gandini Wheeler-Kingshott, Claudia A. M.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Neuroscience
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9390860/
https://www.ncbi.nlm.nih.gov/pubmed/35991288
http://dx.doi.org/10.3389/fninf.2022.891234

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9390860/
https://www.ncbi.nlm.nih.gov/pubmed/35991288
http://dx.doi.org/10.3389/fninf.2022.891234

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