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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Bibliografische gegevens
Gepubliceerd in:J Mov Disord
Hoofdauteurs: 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.
Formaat: Artigo
Taal:Inglês
Gepubliceerd in: The Korean Movement Disorder Society 2020
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Original Article
Online toegang:https://ncbi.nlm.nih.gov/pmc/articles/PMC6987532/
https://ncbi.nlm.nih.gov/pubmed/31552724
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.14802/jmd.19030
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