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» Maximum Likelihood Estimators in Magnetic Resonance Imaging
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NIPS
2004
14 years 11 months ago
Joint MRI Bias Removal Using Entropy Minimization Across Images
The correction of bias in magnetic resonance images is an important problem in medical image processing. Most previous approaches have used a maximum likelihood method to increase...
Erik G. Learned-Miller, Parvez Ahammad
69
Voted
MICCAI
2006
Springer
15 years 10 months ago
Rician Noise Removal in Diffusion Tensor MRI
Rician noise introduces a bias into MRI measurements that can have a significant impact on the shapes and orientations of tensors in diffusion tensor magnetic resonance images. Thi...
Saurav Basu, P. Thomas Fletcher, Ross T. Whitaker
IPMI
2007
Springer
15 years 10 months ago
Active Mean Fields: Solving the Mean Field Approximation in the Level Set Framework
Abstract. We describe a new approach for estimating the posterior probability of tissue labels. Conventional likelihood models are combined with a curve length prior on boundaries,...
Kilian M. Pohl, Ron Kikinis, William M. Wells III
82
Voted
MICCAI
2002
Springer
15 years 10 months ago
Multi-modal Image Registration by Minimising Kullback-Leibler Distance
In this paper, we propose a multi-modal image registration method based on the a priori knowledge of the expected joint intensity distribution estimated from aligned training image...
Albert C. S. Chung, William M. Wells III, Alexande...
79
Voted
AMC
2004
108views more  AMC 2004»
14 years 9 months ago
A variational approach to magnetic resonance coil sensitivity estimation
Abstract. A variational method for estimating a magnetic resonance coil sensitivity from its corresponding nonuniform illumination of magnetic resonance images is proposed and anal...
Stephen L. Keeling, Roland Bammer