Applying machine learning classifiers to automate quality assessment of paediatric dynamic susceptibility contrast (DSC-) MRI data

OBJECTIVE: Investigate the performance of qualitative review (QR) for assessing dynamic susceptibility contrast (DSC-) MRI data quality in paediatric normal brain and develop an automated alternative to QR. METHODS: 1027 signal–time courses were assessed by Reviewer 1 using QR. 243 were additionally...

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Detalles Bibliográficos
Autores principales: Powell, Stephen J., Withey, Stephanie B., Sun, Yu, Grist, James T., Novak, Jan, MacPherson, Lesley, Abernethy, Laurence, Pizer, Barry, Grundy, Richard, Morgan, Paul S., Jaspan, Tim, Bailey, Simon, Mitra, Dipayan, Auer, Dorothee P., Avula, Shivaram, Arvanitis, Theodoros N., Peet, Andrew
Formato: Online Artículo Texto
Lenguaje:English
Publicado: The British Institute of Radiology. 2023
Materias:
Full Paper
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10161906/
https://www.ncbi.nlm.nih.gov/pubmed/36802769
http://dx.doi.org/10.1259/bjr.20201465

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10161906/
https://www.ncbi.nlm.nih.gov/pubmed/36802769
http://dx.doi.org/10.1259/bjr.20201465

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