Maximum-likelihood estimation of Rician distribution parameters.

J Sijbers; A J den Dekker; P Scheunders; D Van Dyck

doi:10.1109/42.712125

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Maximum-likelihood estimation of Rician distribution parameters.

J Sijbers·A J den Dekker·P Scheunders·D Van Dyck

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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.

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J Sijbers, A J den Dekker, P Scheunders, D Van Dyck. 1998. Maximum-likelihood estimation of Rician distribution parameters.. https://doi.org/10.1109/42.712125

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