24 June 1998 Maximum-likelihood signal estimation in phase contrast magnitude MR images
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When conventional techniques are employed in the quantitative analysis of phase contrast magnitude Magnetic Resonance (MR) data, the results obtained are biased. The bias is due to the contributions from inherent random noise. To remove this bias, knowledge of the actual shape of the data probability density function becomes essential. In the present work, the full knowledge of the probability distribution of the phase contrast magnitude MR data is exploited for optimal estimation of the underlying signal.
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Arnold Jan den Dekker, Arnold Jan den Dekker, Jan Sijbers, Jan Sijbers, Marleen Verhoye, Marleen Verhoye, Dirk Van Dyck, Dirk Van Dyck, } "Maximum-likelihood signal estimation in phase contrast magnitude MR images", Proc. SPIE 3338, Medical Imaging 1998: Image Processing, (24 June 1998); doi: 10.1117/12.310919; https://doi.org/10.1117/12.310919

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