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Proceedings Paper

Maximum-likelihood signal estimation in phase contrast magnitude MR images
Author(s): Arnold Jan den Dekker; Jan Sijbers; Marleen Verhoye; Dirk Van Dyck
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Paper 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.

Paper Details

Date Published: 24 June 1998
PDF: 8 pages
Proc. SPIE 3338, Medical Imaging 1998: Image Processing, (24 June 1998); doi: 10.1117/12.310919
Show Author Affiliations
Arnold Jan den Dekker, Univ. of Antwerp (Netherlands)
Jan Sijbers, Univ. of Antwerp (Belgium)
Marleen Verhoye, Univ. of Antwerp (Belgium)
Dirk Van Dyck, Univ. of Antwerp (Belgium)


Published in SPIE Proceedings Vol. 3338:
Medical Imaging 1998: Image Processing
Kenneth M. Hanson, Editor(s)

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