Maximum-likelihood signal estimation in phase contrast magnitude MR images

Arnold Jan den Dekker; Jan Sijbers; Marleen Verhoye; Dirk Van Dyck

doi:10.1117/12.310919

24 June 1998 Maximum-likelihood signal estimation in phase contrast magnitude MR images

Arnold Jan den Dekker, Jan Sijbers, Marleen Verhoye, Dirk Van Dyck

Proceedings Volume 3338, Medical Imaging 1998: Image Processing; (1998) https://doi.org/10.1117/12.310919
Event: Medical Imaging '98, 1998, San Diego, CA, United States

Abstract

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.

Citation Download Citation

Arnold Jan den Dekker, Jan Sijbers, Marleen Verhoye, and Dirk Van Dyck "Maximum-likelihood signal estimation in phase contrast magnitude MR images", Proc. SPIE 3338, Medical Imaging 1998: Image Processing, (24 June 1998); https://doi.org/10.1117/12.310919

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