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IEEE Trans Med Imaging. 1998 Jun;17(3):357-61.

Maximum-likelihood estimation of Rician distribution parameters.

Author information

  • 1Department of Physics, University of Antwerp, Belgium. sijbers@ruca.ua.ac.be

Abstract

The problem of parameter estimation from Rician distributed data (e.g., magnitude magnetic resonance images) is addressed. The properties of conventional estimation methods are discussed and compared to maximum-likelihood (ML) estimation which is known to yield optimal results asymptotically. In contrast to previously proposed methods, ML estimation is demonstrated to be unbiased for high signal-to-noise ratio (SNR) and to yield physical relevant results for low SNR.

PMID:
9735899
DOI:
10.1109/42.712125
[PubMed - indexed for MEDLINE]
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