A segmentation-informed deep learning framework to register dynamic two-dimensional magnetic resonance images of the vocal tract during speech

OBJECTIVE: Dynamic magnetic resonance (MR) imaging enables visualisation of articulators during speech. There is growing interest in quantifying articulator motion in two-dimensional MR images of the vocal tract, to better understand speech production and potentially inform patient management decisi...

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Detalles Bibliográficos
Autores principales: Ruthven, Matthieu, Miquel, Marc E., King, Andrew P.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9746295/
https://www.ncbi.nlm.nih.gov/pubmed/36743699
http://dx.doi.org/10.1016/j.bspc.2022.104290

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9746295/
https://www.ncbi.nlm.nih.gov/pubmed/36743699
http://dx.doi.org/10.1016/j.bspc.2022.104290

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