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Interpolation Artifacts in Sub-Pixel Image Registration

G.K. Rohde, A. Aldroubi, D.M. Healy
2009 IEEE Transactions on Image Processing  
registration objective functions including the sum of squared differences, cross correlation, and mutual information.  ...  We consider the problem of registering (aligning) two images to sub-pixel accuracy by optimization of objective functions constructed from the images' intensity values.  ...  For a review of mutual information-based image registration methods in medical imaging see [18] .  ... 
doi:10.1109/tip.2008.2008081 pmid:19116201 fatcat:ylygiphuvja4fct5yestvehjii

Optimal Control Approach to Image Registration

Stephen Taiwo Salako
2018 Universal Journal of Applied Mathematics  
We will then replace the cost function in the orthogonality problem with sum of squared differences (SSD) to discuss the image registration problem.  ...  We will discuss the non-uniqueness of solutions, existence of optimal solutions and prove the existence of Lagrange multipliers of the image registration problem using the Direct Method in Calculus of  ...  Mutual Information-based Registration (MI) Since 1995, mutual information has been used in image registration.  ... 
doi:10.13189/ujam.2018.060501 fatcat:2skde7hzerel7gg45cunhjoz2m

Evolutionary Intensity-based Medical Image Registration: A Review

Andrea Valsecchi, Sergio Damas, Jose Santamaria
2014 Current Medical Imaging Reviews  
These are examples of global transformations having respectively 6, 7 and 12 degrees of freedom for 3D images.  ...  These techniques have been extensively and successfully applied to feature-based image registration in medicine.  ...  Rigid registration model and normalized mutual information are used.  ... 
doi:10.2174/15734056113096660003 fatcat:nbeal3usczavdghe5bhid77pn4

Joint registration and synthesis using a probabilistic model for alignment of MRI and histological sections

Juan Eugenio Iglesias, Marc Modat, Loïc Peter, Allison Stevens, Roberto Annunziata, Tom Vercauteren, Ed Lein, Bruce Fischl, Sebastien Ourselin
2018 Medical Image Analysis  
, rather than by using mutual information (MI) as metric.  ...  Here, we overcome this limitation with a probabilistic method that simultaneously solves for registration and synthesis directly on the target images, without any training data.  ...  In addition, BF has a financial interest in Cortico-Metrics, a company whose medical pursuits focus on brain imaging and measurement technologies.  ... 
doi:10.1016/ pmid:30282061 fatcat:gwxmcrob4zb4dk36xgqikrxjoi

A Case Analysis on Different Registration Methods on Multi-modal Brain Images

Deepti Nathawat, Manju Mandot, Neelam Sharma
2018 International Journal of Modern Education and Computer Science  
These distributions are the basis for calculating measures of similarity based on entropy as mutual information (MI) or the Entropy correlation coefficient (ECC).  ...  The registration of images is essential in disciplines such as remote sensing, radiology, robotic vision, etc. ; Fields, all of them, that overlap images to study environmental phenomena, monitor tumours  ...  This depends on the attributes of the image used, and we will explain why we have turned to mutual information.  ... 
doi:10.5815/ijmecs.2018.08.05 fatcat:jxgbwq4xyzhdtiqqkggs2qzmwe

Geometry of Image Registration: The Diffeomorphism Group and Momentum Maps [article]

Martins Bruveris, Darryl D. Holm
2013 arXiv   pre-print
These lecture notes explain the geometry and discuss some of the analytical questions underlying image registration within the framework of large deformation diffeomorphic metric mapping (LDDMM) used in  ...  Instead of the L 2 -norm one can use other similarity metrics to measure the distance between images, e.g. mutual information [39] .  ...  The second term allows us to compare images for which an exact solution to the registration problem does not exist, by requiring that the transformed image is close but not necessarily equal to I 1 .  ... 
arXiv:1306.6854v2 fatcat:gvw3lcvugjdbhl6e5tmg2xkghm

Registration of 2D Points Using Geometric Algebra and Tensor Voting

Leo Reyes-Lozano, Gerard Medioni, Eduardo Bayro-Carrochano
2010 Journal of Mathematical Imaging and Vision  
Unlike other popular algorithms for point registration (like the Iterated Closest Points), our algorithm does not require an initialization, works equally well with small and large transformations between  ...  has taken place without further information.  ...  Generally, these methods find a greater application for medical imaging. Another type of problem is the registration of multiple data sets. Solutions to this problem have been reviewed in [6] .  ... 
doi:10.1007/s10851-010-0205-7 fatcat:k6mnmfj435ffveo2fyspxvvtne

Registration of 3D Points Using Geometric Algebra and Tensor Voting

Leo Reyes, Gerard Medioni, Eduardo Bayro
2007 International Journal of Computer Vision  
Unlike other popular algorithms for point registration (like the Iterated Closest Points), our algorithm does not require an initialization, works equally well with small and large transformations between  ...  has taken place without further information.  ...  Generally, these methods find a greater application for medical imaging. Another type of problem is the registration of multiple data sets. Solutions to this problem have been reviewed in [6] .  ... 
doi:10.1007/s11263-007-0038-z fatcat:caynnn25fvbmjfgrrkpgyd5tbq

Probabilistic Registration for Gaussian Process 3D shape modelling in the presence of extensive missing data [article]

Filipa Valdeira and Ricardo Ferreira and Alessandra Micheletti and Cláudia Soares
2022 arXiv   pre-print
While the existing methods on this area prove to work well for the general case of the human head, when looking at more detailed and deformed data, with a high prevalence of missing data, such as the ears  ...  The achieved method GPReg shows better performance when dealing with extensive areas of missing data when compared to a state-of-the-art registration method and the current approach for registration with  ...  This allows us to benefit from advantages on both sides and obtain a method particularly suited for shape fitting in the presence of extensive missing data -a useful tool for challenging shapes such as  ... 
arXiv:2203.14113v1 fatcat:zxwrmwvc6fbmznzlwte3t7c2ee

Automatic prostate segmentation in cone-beam computed tomography images using rigid registration

Christine Boydev, David Pasquier, Foued Derraz, Laurent Peyrodie, Abdelmalik Taleb-Ahmed, Jean-Philippe Thiran
2013 2013 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)  
Automatic segmentation of cone-beam computed tomography images for prostate cancer radiation therapy. Urology and Nephrology. Université de Valenciennes et du Hainaut-Cambresis, 2015. English. .  ...  au sein du LTS5 à l'EPFL !  ...  with a large number of parameters, for global similarity metrics such as the mutual information or the cross-correlation.  ... 
doi:10.1109/embc.2013.6610420 pmid:24110607 dblp:conf/embc/BoydevPDPTT13 fatcat:4y6dbhsywvgnbla6jaz3womcmu

Extended scope of nursing practice: a multicentre randomised controlled trial of appropriately trained nurses and pre-registration house officers in pre-operative assessment in elective general surgery

H. Kinley, C. Czoski-Murray, S. George, C. McCabe, J. Primrose, C. Reilly, R. Wood, P. Nicolson, C. Healy, S. Read, J. Norman, . Janke (+3 others)
2001 Health Technology Assessment  
Criteria for inclusion in the HTA monograph series Reports are published in the HTA monograph series if (1) they have resulted from work commissioned for the HTA Programme, and (2) they are of a sufficiently  ...  Initially, six HTA panels (pharmaceuticals, acute sector, primary and community care, diagnostics and imaging, population screening, methodology) helped to set the research priorities for the HTA Programme  ...  The authors are also indebted to the referees for their perseverance in reading the report and the quality of their comments. Acknowledgements  ... 
doi:10.3310/hta5200 fatcat:evlzwyx4w5c6bplsgzsx4x666u

Automated white-matter tractography using a probabilistic diffusion tensor atlas: Application to temporal lobe epilepsy

Donald J. Hagler, Mazyar E. Ahmadi, Joshua Kuperman, Dominic Holland, Carrie R. McDonald, Eric Halgren, Anders M. Dale
2009 Human Brain Mapping  
Identification of fiber tracts with the atlas does not require human intervention, but nonetheless benefits from the a priori anatomical information that was used to manually identify the tracts included  ...  The reliability and interpretability of fiber tracking procedures is improved when a priori anatomical information is used as a guide.  ...  The authors thank Susumu Mori and Hangyi Jiang for providing source code for the FACT fiber tracking program, and Sumiko Abe for creating a 3D fiber track viewer for Linux.  ... 
doi:10.1002/hbm.20619 pmid:18671230 pmcid:PMC2754725 fatcat:q55mywqj3fg2xemlgsagwhfuim

Technology and Globalization

Derek Hrynyshyn
2002 Studies in Political Economy  
Unfortunately, he is unable to use this framework as a basis for a critical study of globalization without lapsing into deterministic explanation.  ...  The first is based on a problematic but very popular notion of the anarchic nature of the Internet, and the second makes for a poor explanation of why the Soviet Union collapsed.  ... 
doi:10.1080/19187033.2002.11675202 fatcat:pdby3fi2pjhaxjywtcu6eiy5fq

A Privacy-Preserving Secure Service Discovery Protocol for Ubiquitous Computing Environments [chapter]

Jangseong Kim, Joonsang Baek, Kwangjo Kim, Jianying Zhou
2011 Lecture Notes in Computer Science  
Mutual authentication: Mutual authentication between an end-user and service provider is required to identify whether the communicating party is a legitimate entity or not.  ...  To obtain the access information of a service, an end-user sends a query message to a directory server.  ...  However, as the previous work does not address this problem, we require a privacy-preserving secure service discovery protocol.  ... 
doi:10.1007/978-3-642-22633-5_4 fatcat:l26ejymhmfc4ffrpbxiduaj5ka

Graphical-model framework for automated annotation of cell identities in dense cellular images

Shivesh Chaudhary, Sol Ah Lee, Yueyi Li, Dhaval S Patel, Hang Lu
2021 eLife  
Here we present a probabilistic-graphical-model framework, CRF_ID, based on Conditional Random Fields, for unbiased and automated cell identification.  ...  We demonstrate cell annotation in C. elegans images across strains, animal orientations, and tasks including gene-expression localization, multi-cellular and whole-brain functional imaging experiments.  ...  Below, we provide a mathematical argument for why registration-based methods do not include pairwise positional relationships.  ... 
doi:10.7554/elife.60321 fatcat:6fk7cu5zazctvbgdmfah6uhcxe
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