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Intensity-Based Image Registration by Minimizing Residual Complexity

Andriy Myronenko, Xubo Song
2010 IEEE Transactions on Medical Imaging  
The final measure can be interpreted as one that favors a registration with minimum compression complexity of the residual image between the two registered images.  ...  Index Terms-Bias field, image registration, nonstationary intensity distortion, residual complexity, sparseness. 1 Spatial stationarity implies the equal form of the probability density function regardless  ...  We propose a new intensity-based similarity measure to deal with complex spatially-varying intensity distortions.  ... 
doi:10.1109/tmi.2010.2053043 pmid:20562036 fatcat:t3bzr46m7nb5bfcutnag3cn5ya

Intensity based image registration by minimizing exponential function weighted residual complexity

Juan Zhang, Zhen-Tai Lu, Vadim Pigrish, Qian-Jin Feng, Wu-Fan Chen
2013 Computers in Biology and Medicine  
In this paper, we propose a novel intensity-based similarity measure for medical image registration.  ...  By introducing a specifically designed exponential weighting function to the residual term in residual complexity, the proposed similarity measure performed well due to automatically weighting the residual  ...  The frequently used intensity-based similarity measures are defined by corresponding pixel intensities between images to be aligned.  ... 
doi:10.1016/j.compbiomed.2013.07.017 pmid:24034740 fatcat:bgj7jgq6vvbijlvr4iriznjcsm

Personalized X-ray Reconstruction of the Proximal Femur via a New Control Point-based 2D-3D Registration and Residual Complexity Minimization [article]

Weimin Yu, Guoyan Zheng
2014 Eurographics Workshop on Visual Computing for Biomedicine  
at this stage are done based on minimizing the complexity of the residual images between the C-arm images and the associated DRRs.  ...  In order to account for intensity nonstationarities and complex spatially-varying intensity distortion in the deformable b-spline 2D-3D registration stage, the intensity-based 2D-2D image registrations  ...  Acknowledgement The CT data used in the simulation study was provided by Prof. Dr. P. Zysset.  ... 
doi:10.2312/vcbm.20141194 fatcat:o4udjcbkzzehbo2nins6fjsimq

Image registration by minimization of residual complexity

A. Myronenko, Xubo Song
2009 2009 IEEE Conference on Computer Vision and Pattern Recognition  
The final measure can be interpreted as one that favors a registration with minimum compression complexity of the residual image between the two registered images.  ...  Accurate definition of similarity measure is a key component in image registration.  ...  Whereas in sparse coding, the task is to search for sparse bases and coefficients to represent the image, in image registration we are given the bases and looking for the alignment where the residual image  ... 
doi:10.1109/cvprw.2009.5206571 fatcat:u4ro3wgqdbgfdpdfef7at5pshy

Image registration by minimization of residual complexity

Andriy Myronenko, Xubo Song
2009 2009 IEEE Conference on Computer Vision and Pattern Recognition  
The final measure can be interpreted as one that favors a registration with minimum compression complexity of the residual image between the two registered images.  ...  Accurate definition of similarity measure is a key component in image registration.  ...  Whereas in sparse coding, the task is to search for sparse bases and coefficients to represent the image, in image registration we are given the bases and looking for the alignment where the residual image  ... 
doi:10.1109/cvpr.2009.5206571 dblp:conf/cvpr/MyronenkoS09 fatcat:6l6b6yovzfavvbcb7rtcglsyha

Attribute Vector Guided Groupwise Registration [chapter]

Qian Wang, Pew-Thian Yap, Guorong Wu, Dinggang Shen
2009 Lecture Notes in Computer Science  
By minimizing the overall JS divergence in the whole image space and estimating the deformation field of each image simultaneously, we can eventually register all images and build an unbiased atlas.  ...  In this paper, we employ attribute vectors, instead of image intensities, to guide groupwise registration.  ...  This work is supported by NIH grants 1R01EB006733 and 1R01EB009634.  ... 
doi:10.1007/978-3-642-04268-3_81 fatcat:s34czletfneu5billf4bkfl2y4

Attribute vector guided groupwise registration

Qian Wang, Guorong Wu, Pew-Thian Yap, Dinggang Shen
2010 NeuroImage  
By minimizing the overall JS divergence in the whole image space and estimating the deformation field of each image simultaneously, we can eventually register all images and build an unbiased atlas.  ...  In this paper, we employ attribute vectors, instead of image intensities, to guide groupwise registration.  ...  This work is supported by NIH grants 1R01EB006733 and 1R01EB009634.  ... 
doi:10.1016/j.neuroimage.2010.01.040 pmid:20097291 pmcid:PMC2839051 fatcat:ohrilhwbezhrrauusb4a72uoja

A TV-l 1 based nonrigid image registration by coupling parametric and non-parametric transformation

Wen-Rui Hu, Yuan Xie, Lin Li, Wen-Sheng Zhang
2015 International Journal of Automation and Computing  
Moreover, accounting for the effect of spatially-varying intensity distortions and the sparse gradient prior of the deformation field, we adopt the residual complexity (RC) as the similarity metric and  ...  To overcome the conflict between the global robustness and the local accuracy in the dense nonrigid image registration, we propose a union registration approach using a l1-norm based term to couple the  ...  Compared to other similarity measures, image registration by minimizing the residual complexity is simple in terms of both computational complexity and implementation, and meanwhile produces accurate registration  ... 
doi:10.1007/s11633-014-0874-6 fatcat:5ip5as7rujgkfcxgh63ptqxuvm

Respiratory Motion Correction in Dynamic-MRI: Application to Small Bowel Motility Quantification during Free Breathing [chapter]

Valentin Hamy, Alex Menys, Emma Helbren, Freddy Odille, Shonit Punwani, Stuart Taylor, David Atkinson
2013 Lecture Notes in Computer Science  
This study introduces a combination of two registration techniques for respiratory motion removal and the quantification of small bowel motility from free breathing cine MRI.  ...  The use of robust data decomposition registration (RDDR) allows for exclusive correction of respiratory motion in order to avoid errors in further analysis of motility due to the effects of breathing.  ...  This project was supported by the National Institute for Health Research, University College London Hospitals, Biomedical Research Centre.  ... 
doi:10.1007/978-3-642-40763-5_17 fatcat:5iovncdah5dsvf6yi34djqii4i

Image Registration for the Alignment of Digitized Historical Documents [article]

AmirAbbas Davari, Tobias Lindenberger, Armin Häberle, Vincent Christlein, Andreas Maier, Christian Riess
2017 arXiv   pre-print
After the evaluation of different algorithms, we choose an intensity based registration algorithm with a curved transformation model.  ...  From a number of similarity measures, we found that residual complexity and localized mutual information are well suited for the task at hand.  ...  Residual Complexity (RC) The residual complexity (RC) is, like the sum of squared distances, also based on the pixel intensity differences, i.e., residual, between the reference and moving images.  ... 
arXiv:1712.04482v1 fatcat:7u4mcc5lqrf3vbqylvldx2rame

Deep sparse representation for robust image registration

Yeqing Li, Chen Chen, Fei Yang, Junzhou Huang
2015 2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)  
The definition of the similarity measure is an essential component in image registration. In this paper, we propose a novel similarity measure for registration of two or more images.  ...  One of the key advantages of the proposed similarity measure is its robustness to severe intensity distortions, which widely exist on medical images, remotely sensed images and natural photos due to the  ...  The residual complexity (RC) [17] is one of the best measures for registering two images corrupted by severe intensity distortion [8] , which uses the discrete cosine transform (DCT) to sparsify the  ... 
doi:10.1109/cvpr.2015.7299123 dblp:conf/cvpr/LiCYH15 fatcat:pbac6vldqbh2xk4w6v65foqerm

Rigid registration of 3-D ultrasound with MR images: a new approach combining intensity and gradient information

A. Roche, X. Pennec, G. Malandain, N. Ayache
2001 IEEE Transactions on Medical Imaging  
Automatic registration is achieved by maximization of a similarity measure which generalizes the correlation ratio, and whose novelty is to incorporate multivariate information from the MR data (intensity  ...  We present a new image-based technique to rigidly register intraoperative three-dimensional ultrasound (US) with preoperative magnetic resonance (MR) images.  ...  Other approaches are image based in the sense that registration is performed using the image data itself.  ... 
doi:10.1109/42.959301 pmid:11686439 fatcat:3tvcq5qy45hgrnntohlrh273ne

Simultaneous multi-modal registration of multiple images based on multi-dimensional joint phase moment distributions

Alexander Wong
2008 Pattern Recognition (ICPR), Proceedings of the International Conference on  
Experimental results using real-world medical and remote sensing images show that the proposed method achieves a high level of registration accuracy when simultaneously registering multiple multimodal  ...  images.  ...  intensity feature spaces to a common feature space based on complex wavelet phase moments.  ... 
doi:10.1109/icpr.2008.4761912 dblp:conf/icpr/Wong08 fatcat:tlillsfug5brtnqmyw7kgkv44m

COMPARISON OF CONTOUR FEATURE BASED AND INTENSITY BASED INSAT-3D MET IMAGES COREGISTRATION FOR SUB PIXEL ACCURACIES

Subbiah Manthira Moorthi, Ramamoorthy Sivakumar
2018 ICTACT Journal on Image and Video Processing  
Feature based registration techniques are commonly used and intensity based techniques are also put to use in these contexts rarely.  ...  The acquired images have to be guaranteed for their geometric fidelity to a standard of choice among themselves by image registration.  ...  Residual maps shown by three plots for input (before registration), using feature matching by phase correlation and the intensity based method advocated.  ... 
doi:10.21917/ijivp.2018.0243 fatcat:ynmywndjkzbizeyrc57wtlzgxm

Block-Coordinate Gauss-Newton/regression Method for Image Registration with Efficient Outlier Detection

Dong Sik Kim, Kiryung Lee
2007 Proceedings of IEEE international conference on image processing  
Excluding outliers, we can successfully align images compensating the intensity differences.  ...  Based on the block-coordinate method, we separate the parameter update into two steps for registration and compensation, respectively.  ...  Therefore, besides reducing the computational complexity, we can obtain a stable solution if we using BCGNR. A panorama image is constructed in Fig. 2 based on BCGNR using 5 images.  ... 
doi:10.1109/icip.2007.4379005 dblp:conf/icip/KimL07 fatcat:tdbusicvgvbfhejwomgryrbneq
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