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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...
Autores principales: | Gaviraghi, Marta, Ricciardi, Antonio, Palesi, Fulvia, Brownlee, Wallace, Vitali, Paolo, Prados, Ferran, Kanber, Baris, Gandini Wheeler-Kingshott, Claudia A. M. |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2022
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Materias: | |
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 |
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