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- W2067112058 abstract "Many image processing methods applied to magnetic resonance (MR) images directly or indirectly rely on prior knowledge of the statistical data distribution that characterizes the MR data. Also, data distributions are key in many parameter estimation problems and strongly relate to the accuracy and precision with which parameters can be estimated. This review paper provides an overview of the various distributions that occur when dealing with MR data, considering both single-coil and multiple-coil acquisition systems. The paper also summarizes how knowledge of the MR data distributions can be used to construct optimal parameter estimators and answers the question as to what precision may be achieved ultimately from a particular MR image." @default.
- W2067112058 created "2016-06-24" @default.
- W2067112058 creator A5020623867 @default.
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- W2067112058 date "2014-11-01" @default.
- W2067112058 modified "2023-10-16" @default.
- W2067112058 title "Data distributions in magnetic resonance images: A review" @default.
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- W2067112058 doi "https://doi.org/10.1016/j.ejmp.2014.05.002" @default.
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