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Unifying maximum likelihood approaches in medical image registration

Alexis Roche, Gr�goire Malandain, Nicholas Ayache
2000 International journal of imaging systems and technology (Print)  
After formalizing registration based on general image acquisition models, we show that the search for an optimal measure can be cast into a maximum likelihood estimation problem.  ...  Although intensity-based similarity measures are increasingly used for medical image registration, they often rely on implicit assumptions regarding the imaging physics.  ...  Instead of the present maximum likelihood approach, a maximum a posteriori (MAP) strategy could be employed.  ... 
doi:10.1002/(sici)1098-1098(2000)11:1<71::aid-ima8>3.0.co;2-5 fatcat:wpz54xfz2ray3ihn2o7dcmrwae

Unifying maximum likelihood approaches in medical image registration

Alexis Roche, Grégoire Malandain, Nicholas Ayache
2000 International journal of imaging systems and technology (Print)  
After formalizing registration based on general image acquisition models, we show that the search for an optimal measure can be cast into a maximum likelihood estimation problem.  ...  Although intensity-based similarity measures are increasingly used for medical image registration, they often rely on implicit assumptions regarding the imaging physics.  ...  Instead of the present maximum likelihood approach, a maximum a posteriori (MAP) strategy could be employed.  ... 
doi:10.1002/(sici)1098-1098(2000)11:1<71::aid-ima8>3.3.co;2-x fatcat:fflqoisl2fgrtgw2hu3yxlelby

A Maximum Likelihood Approach for Image Registration Using Control Point And Intensity

W. Li, H. Leung
2004 IEEE Transactions on Image Processing  
In this paper, an exact maximum likelihood (EML) registration method, which combines both CP and intensity, is proposed for image alignment.  ...  Registration of multidate or multisensor images is an essential process in many image processing applications including remote sensing, medical image analysis, and computer vision.  ...  In this paper, an exact maximum likelihood (EML) [19] image registration method is proposed. It uses both CP and intensity features in a unified framework to compute the registration parameters.  ... 
doi:10.1109/tip.2004.828435 pmid:15326853 fatcat:bi7inai7vne3paksxgl4vustsy

A unified statistical and information theoretic framework for multi-modal image registration

Lilla Zöllei, John W Fisher, William M Wells
2003 Information processing in medical imaging : proceedings of the ... conference  
We formulate and interpret several registration methods in the context of a unified statistical and information theoretic framework.  ...  Among the useful aspects of the auto-information function is that it can be computed from imaging modalities independently and it allows one to decompose the search space of registration problems.  ...  (One account on modeling assumptions in uni-modal registration techniques and a general maximum likelihood framework for a certain set of multi-modal registration approaches is presented in [10] .)  ... 
pmid:15344472 fatcat:t2u7jejubbd5tdyejkzkr3bhty

A Unified Statistical and Information Theoretic Framework for Multi-modal Image Registration [chapter]

Lilla Zöllei, John W. Fisher, William M. Wells
2003 Lecture Notes in Computer Science  
We formulate and interpret several registration methods in the context of a unified statistical and information theoretic framework.  ...  Among the useful aspects of the auto-information function is that it can be computed from imaging modalities independently and it allows one to decompose the search space of registration problems.  ...  Maximum Likelihood We begin with the classical maximum likelihood (ML) method of parameter estimation.  ... 
doi:10.1007/978-3-540-45087-0_31 fatcat:zerx4jl3nzep3bhc6c3k5ylodq

2014 Index IEEE Transactions on Medical Imaging Vol. 33

2014 IEEE Transactions on Medical Imaging  
., +, TMI Feb. 2014 290-300 Maximum Likelihood Estimation of Shear Wave Speed in Transient Elas- tography.  ...  ., +, TMI Feb. 2014 290-300 Maximum Likelihood Estimation of Shear Wave Speed in Transient Elas- tography.  ...  MRI Upsampling Using Feature-Based Nonlocal Means Approach. Jafari-Khouzani, K., 1969 -1985 Numerical Surrogates for Human Observers in Myocardial Motion Evaluation From SPECT Images.  ... 
doi:10.1109/tmi.2014.2386278 fatcat:poarfhfto5bm5mhfl7ugwtw4xy

MAP MRF joint segmentation and registration of medical images

Paul P. Wyatt, J.Alison Noble
2003 Medical Image Analysis  
The outlined approach applies Markov random fields in the solution of a maximum a posteriori model of segmentation and registration. The approach is applied to synthetic and real MRI data.   ...  The problems of segmentation and registration are traditionally approached individually, yet the accuracy of one is of great importance in influencing the success of the other.  ...  Unifying maximum likelihood approaches in medical image registration.  ... 
doi:10.1016/s1361-8415(03)00067-7 pmid:14561557 fatcat:kmo3hwpknfambm5czvotut46z4

A unified framework for joint segmentation, nonrigid registration and tumor detection: application to MR-guided radiotherapy

Chao Lu, Sudhakar Chelikani, James S Duncan
2011 Information processing in medical imaging : proceedings of the ... conference  
In this paper, we present a unified MAP framework that performs automatic segmentation, nonrigid registration and tumor detection simultaneously.  ...  We demonstrate the approach on a set of 30 T2-weighted MR images, and the results show that the approach performs better than similar methods which separate the registration and segmentation problems.  ...  Conclusion In this paper, a unified framework for simultaneous segmentation, nonrigid registration and tumor detection had been presented.  ... 
pmid:21761683 pmcid:PMC3889153 fatcat:2xvvukdw6vehbjigc6535ph2gq

Subject index

1999 IEEE Transactions on Medical Imaging  
Maximum likelihood estimation Evolutionary computation; cf. Genetic algorithms Eye fundus images, multimodal registration algm., vessels detect./Hough transform.  ...  Maximum likelihood estimation Statistics MR images, reversible compression method. Midtvik, M., + , T-MI Sep 99 795-800 Statistics; cf.  ...  -based eval. of image-proc. and class. methods. Kwan, R.K.-S., + , T-MI Nov. 1999  ... 
doi:10.1109/tmi.1999.819331 fatcat:g7ntb6icpzgs7jwncaguherqne

A novel approach for the registration of 2D portal and 3D CT images for treatment setup verification in radiotherapy [chapter]

Ravi Bansal, Lawrence H. Staib, Zhe Chen, Anand Rangarajan, Jonathan Knisely, Ravinder Nath, James S. Duncan
1998 Lecture Notes in Computer Science  
The minimax entropy algorithm proposed in this paper evaluates appropriate entropies in order to segment the portal image and to find the registration parameters iteratively.  ...  However, if some structure can be segmented in the portal image, it can be used to help registration, and if there is an estimate of the registration parameters, it can help improve the segmention of the  ...  We formulate our problem as a maximum-likelihood estimation (MLE) problem in section 2.1.  ... 
doi:10.1007/bfb0056297 fatcat:paulqvego5emporjof7z5hahnq

Smooth point-set registration using neighboring constraints

Gerard Sanromà, René Alquézar, Francesc Serratosa, Blas Herrera
2012 Pattern Recognition Letters  
Abstract We present an approach for Maximum Likelihood estimation of correspondence and alignment parameters that benefits from the representational skills of graphs.  ...  Maximum Likelihood Similarity Alignment Parameters We seek the alignment parameters Φ (n+1) that maximize equation (11) .  ... 
doi:10.1016/j.patrec.2012.04.008 fatcat:lvdezj237zdijkzotg7kioqafu

Elastic Registration with Partial Data [chapter]

Senthil Periaswamy, Hany Farid
2003 Lecture Notes in Computer Science  
We have developed a general purpose registration algorithm for medical images and volumes.  ...  We show that this approach is highly effective in registering a range of synthetic and clinical medical images. This work was supported by an Alfred P.  ...  We propose, however, a more unified approach in which the registration and segmentation are performed simultaneously.  ... 
doi:10.1007/978-3-540-39701-4_11 fatcat:bzazjocua5b3vf7pj4xyd3lli4

Applying spatial distribution analysis techniques to classification of 3D medical images

Dragoljub Pokrajac, Vasileios Megalooikonomou, Aleksandar Lazarevic, Despina Kontos, Zoran Obradovic
2005 Artificial Intelligence in Medicine  
Conclusion: Performed experiments demonstrated that the approaches based on the KL divergence and the ML method provide superior accuracy compared to the Mahalanobis distance.  ...  This work was supported in part by the National Science Foundation under  ...  In addition, the authors express their gratitude to the anonymous reviewers whose comments significantly improved the structure and overall quality of the paper.  ... 
doi:10.1016/j.artmed.2004.07.001 pmid:15811790 fatcat:64ysxglcyrby7glgn4he5rhbcu

Subjective Probability

R. L. GREGORY
1957 Nature  
Conclusion: Performed experiments demonstrated that the approaches based on the KL divergence and the ML method provide superior accuracy compared to the Mahalanobis distance.  ...  This work was supported in part by the National Science Foundation under  ...  In addition, the authors express their gratitude to the anonymous reviewers whose comments significantly improved the structure and overall quality of the paper.  ... 
doi:10.1038/180158a0 fatcat:m7uekfmtb5echej5wccoio4ide

Subjective probability [chapter]

2008 Nonbayesian Decision Theory  
Conclusion: Performed experiments demonstrated that the approaches based on the KL divergence and the ML method provide superior accuracy compared to the Mahalanobis distance.  ...  This work was supported in part by the National Science Foundation under  ...  In addition, the authors express their gratitude to the anonymous reviewers whose comments significantly improved the structure and overall quality of the paper.  ... 
doi:10.1007/978-1-4020-8699-1_6 fatcat:wsmau6v4nndd5euqqzrovedkbi
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