| Literature DB >> 9735899 |
J Sijbers1, A J den Dekker, P Scheunders, D Van Dyck.
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.Entities:
Mesh：
Year: 1998 PMID： 9735899 DOI： 10.1109/42.712125
Source DB: PubMed Journal: IEEE Trans Med Imaging ISSN： 0278-0062 Impact factor: 10.048