Automated Brainstem Segmentation Detects Differential Involvement in Atypical Parkinsonian Syndromes

OBJECTIVE: Brainstem segmentation has been useful in identifying potential imaging biomarkers for diagnosis and progression in atypical parkinsonian syndromes (APS). However, the majority of work has been performed using manual segmentation, which is time consuming for large cohorts. METHODS: We inv...

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Detalles Bibliográficos
Autores principales: Bocchetta, Martina, Iglesias, Juan Eugenio, Chelban, Viorica, Jabbari, Edwin, Lamb, Ruth, Russell, Lucy L., Greaves, Caroline V., Neason, Mollie, Cash, David M., Thomas, David L., Warren, Jason D., Woodside, John, Houlden, Henry, Morris, Huw R., Rohrer, Jonathan D.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: The Korean Movement Disorder Society 2020
Materias:
Original Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6987532/
https://www.ncbi.nlm.nih.gov/pubmed/31552724
http://dx.doi.org/10.14802/jmd.19030

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6987532/
https://www.ncbi.nlm.nih.gov/pubmed/31552724
http://dx.doi.org/10.14802/jmd.19030

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