Maximum-likelihood signal estimation in phase contrast magnitude MR images
Arnold Jan den Dekker, Jan Sijbers, Marleen Verhoye, Dirk Van Dyck · Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE · 1998
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.