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- W1863374223 abstract "Modeling has been shown to be a useful method of reducing truncation artifacts when reconstructing magnetic resonance images from short 256 x 128 data sets. In fact these modeled images often have less truncation artifacts than the '~~11 256 x 256 reconstructions. The image quality of the modeled reconstructions is however poorer than the full reconstructions. In this paper it is shown that this quality is restored when the modeling process not only provides the data removed by truncation but also adds back the noise removed." @default.
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- W1863374223 date "2005-08-24" @default.
- W1863374223 modified "2023-09-26" @default.
- W1863374223 title "High Quality MRI Images Using Short Data SE, TS, Modeling And Noise" @default.
- W1863374223 doi "https://doi.org/10.1109/iembs.1990.690977" @default.
- W1863374223 hasPublicationYear "2005" @default.
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