Bayesian statistical modeling to predict observer-specific optimal windowing parameters in magnetic resonance imaging

Magnetic resonance (MR) images require a process known as windowing for optimizing the display conditions. However, the conventional windowing process often fails to achieve the preferred display conditions for observers due to various factors. This study proposes a novel framework for predicting th...

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Detalles Bibliográficos
Autores principales: Sugimoto, Kohei, Oita, Masataka, Kuroda, Masahiro
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2023
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10448025/
https://www.ncbi.nlm.nih.gov/pubmed/37636402
http://dx.doi.org/10.1016/j.heliyon.2023.e19038

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10448025/
https://www.ncbi.nlm.nih.gov/pubmed/37636402
http://dx.doi.org/10.1016/j.heliyon.2023.e19038

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