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

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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Bibliographic Details
Main Authors: Kohei Sugimoto, Masataka Oita, Masahiro Kuroda
Format: Article
Language:English
Published: Elsevier 2023-08-01
Series:Heliyon
Subjects:
MR image
Image intensity standardization
Windowing
Prediction
Bayesian statistical modeling
Online Access:http://www.sciencedirect.com/science/article/pii/S2405844023062461

Internet

http://www.sciencedirect.com/science/article/pii/S2405844023062461

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