287 search results - page 1 / 58 » Maximum Likelihood Estimators in Magnetic Resonance Imaging |
IPMI
2007
Springer
14 years 5 months ago
2007
Springer
Images of the MRI signal intensity are normally constructed by taking the magnitude of the complex-valued data. This results in a biased estimate of the true signal intensity. We c...
DICTA
2003
13 years 6 months ago
2003
Abstract. This paper proposes a new adaptive wavelet-based Magnetic Resonance images denoising algorithm. A Rician distribution for background-noise modelling is introduced and a M...
TMI
1998
13 years 4 months ago
1998
— The problem of parameter estimation from Rician distributed data (e.g., magnitude Magnetic Resonance images) is addressed. The properties of conventional estimation methods are...
CVBIA
2005
Springer
13 years 10 months ago
2005
Springer
Standard image based segmentation approaches perform poorly when there is little or no contrast along boundaries of different regions. In such cases, segmentation is largely perfor...
SIBGRAPI
2008
IEEE
13 years 11 months ago
2008
IEEE
Bayesian inference methods are commonly applied to the classification of brain Magnetic Resonance images (MRI). We use the Maximum Evidence (ME) approach to estimate the most prob...