Title
A quadratic majorize-minimize framework for statistical estimation with noisy rician- and noncentral chi-distributed MR images
Abstract
The statistics of noisy MR magnitude and square-root sum-of-squares MR images are well-described by the Rice and noncentral chi distributions, respectively. Statistical estimation involving these distributions is complicated by the facts that they have first- and second-order moments that depend nonlinearly on the noiseless image, and can have nonconvex negative log-likelihoods. This paper proposes a new majorize-minimize framework to ease the computational burden associated with statistical estimation involving these distributions. We derive quadratic tangent majorants for the negative log-likelihoods, which enables statistical cost functions to be optimized using a sequence of much simpler least-squares or regularized least-squares surrogate problems. We demonstrate the use of this framework in the context of regularized MR image denoising, with both simulated and experimental data.
Year
DOI
Venue
2013
10.1109/ISBI.2013.6556574
Biomedical Imaging
Keywords
Field
DocType
biomedical MRI,image denoising,image sequences,mean square error methods,medical image processing,minimisation,statistical analysis,MR image denoising,first-order moments,image sequence,noiseless image,noisy Rician MR image,noncentral chi-distributed MR image,nonconvex negative log-likelihoods,optimization,quadratic majorize-minimize framework,second-order moments,square-root sum-of-squares MR image,statistical cost functions,statistical estimation,Magnetic Resonance Imaging,Majorize-Minimize Algorithms,Noncentral Chi Distribution,Rice Distribution,Statistical Estimation
Magnitude (mathematics),Pattern recognition,Experimental data,Computer science,Quadratic equation,Minimisation (psychology),Tangent,Image denoising,Artificial intelligence,Statistical analysis,Rician fading
Conference
ISSN
ISBN
Citations 
1945-7928
978-1-4673-6456-0
4
PageRank 
References 
Authors
0.55
5
2
Name
Order
Citations
PageRank
Divya Varadarajan140.55
Justin P. Haldar235035.40