Simulated diagnostic performance of low-field MRI: Harnessing open-access datasets to evaluate novel devices

The purpose of this study is to demonstrate a method for virtually evaluating novel imaging devices using machine learning and open-access datasets, here applied to a new, low-field strength portable 64mT MRI device. Paired 3 T and 64mT brain images were used to develop and validate a transformation...

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Detalles Bibliográficos
Autores principales: Arnold, T. Campbell, Baldassano, Steven N., Litt, Brian, Stein, Joel M.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8816889/
https://www.ncbi.nlm.nih.gov/pubmed/34968700
http://dx.doi.org/10.1016/j.mri.2021.12.007

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8816889/
https://www.ncbi.nlm.nih.gov/pubmed/34968700
http://dx.doi.org/10.1016/j.mri.2021.12.007

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