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Proceedings Paper

Adaptive anisotropic noise filtering for magnitude MR data
Author(s): Jan Sijbers; Arnold Jan den Dekker; Marleen Verhoye; Anne-Marie Van der Linden; Dirk Van Dyck
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Paper Abstract

In general, conventional noise filtering schemes applied to magnitude magnetic resonance (MR) images are based on Gauss distributed noise. Magnitude MR data, however, are Rice distributed. Not incorporating this knowledge leads inevitably to biased results, in particular when applying those filters in regions with low signal-to-noise ratio. In this work, we show how the Rice data probability distribution can be incorporated to construct a noise filter that is far less biased.

Paper Details

Date Published: 21 May 1999
PDF: 8 pages
Proc. SPIE 3661, Medical Imaging 1999: Image Processing, (21 May 1999); doi: 10.1117/12.348541
Show Author Affiliations
Jan Sijbers, Univ. of Antwerp (Belgium)
Arnold Jan den Dekker, Univ. of Antwerp (Netherlands)
Marleen Verhoye, Univ. of Antwerp (Belgium)
Anne-Marie Van der Linden, Univ. of Antwerp (Belgium)
Dirk Van Dyck, Univ. of Antwerp (Belgium)

Published in SPIE Proceedings Vol. 3661:
Medical Imaging 1999: Image Processing
Kenneth M. Hanson, Editor(s)

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