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Insight into Efficient Image Registration Techniques and the Demons Algorithm [chapter]

Tom Vercauteren, Xavier Pennec, Ezio Malis, Aymeric Perchant, Nicholas Ayache
Lecture Notes in Computer Science  
As image registration becomes more and more central to many biomedical imaging applications, the efficiency of the algorithms becomes a key issue.  ...  The adequacy of these tools for linear image registration leads us to revisit non-linear registration and allows us to provide interesting theoretical roots to the different variants of Thirion's demons  ...  An Insight into the Demons Algorithm In [2] , the author proposed to consider non-linear registration as a diffusion process.  ... 
doi:10.1007/978-3-540-73273-0_41 dblp:conf/ipmi/VercauterenPMPA07 fatcat:ixfhktgqivhkxoc5ywzcj6fzwy

Fast Deformable Registration on the GPU: A CUDA Implementation of Demons

Pinar Muyan-Ozcelik, John D. Owens, Junyi Xia, Sanjiv S. Samant
2008 2008 International Conference on Computational Sciences and Its Applications  
We implemented Demons, a widely used deformable image registration algorithm, on NVIDIA's Quadro FX 5600 GPU with the Compute Unified Device Architecture (CUDA) programming environment.  ...  Hence, this study addresses the need for on-line deformable registration methods in intra-operative settings by providing the fastest and most scalable Demons implementation available to date.  ...  Registration aligns images by applying transformations to one of the images so that it matches the other. Registration techniques can be divided into rigid registrations and deformable registrations.  ... 
doi:10.1109/iccsa.2008.22 dblp:conf/iccsa/Muyan-OzcelikOXS08 fatcat:6ehyabhzdrddjnvvikw6v72p74

Evaluation Method for the Optimization of 3D Rigid Image Registration on Multimodal Image Datasets

2019 International Journal of Engineering and Advanced Technology  
The image registration algorithm with most efficient combination of similarity metric and interpolator was selected for comparison with the commercially available image registration algorithm.  ...  In this paper, the efficiency of image registration algorithm is analyzed by using various combinations of interpolators and similarity metric in terms of quantitative measures and is compared with commercially  ...  Algorithms for the 3D image registration C.1 SITK Based Registration method An automatic 3D RIR code using Simple Insight Segmentation and Registration Toolkit (SITK) is written in Python language (version  ... 
doi:10.35940/ijeat.a2078.109119 fatcat:5ppwnffldzgyfncsyvpjod5v5i

Fast Local Trust Region Technique for Diffusion Tensor Registration Using Exact Reorientation and Regularization

Junning Li, Yonggang Shi, Giang Tran, Ivo Dinov, Danny J. J. Wang, Arthur Toga
2014 IEEE Transactions on Medical Imaging  
It is able to incorporate exact reorientation and regularization into the velocity optimization, and preserve the linear complexity of the diffeomorphic Demons algorithm.  ...  In an experiment with 84 diffusion tensor images involving both pair-wise and group-wise registrations, the proposed algorithm achieves better registration in comparison with other methods solving large  ...  Such an insight into this popular algorithm is the foundation of the local-trust-region technique we propose in Section V. A. The Algorithm The diffeomorphic Demons algorithm by Vercauteren et al.  ... 
doi:10.1109/tmi.2013.2274051 pmid:23880040 pmcid:PMC3981960 fatcat:sem3esfdqvf6zlpqplwuomt7dm

Diffusion Tensor Image Registration Using Tensor Geometry and Orientation Features [chapter]

Jinzhong Yang, Dinggang Shen, Christos Davatzikos, Ragini Verma
2008 Lecture Notes in Computer Science  
These features are incorporated into a hierarchical deformable registration framework to develop a diffusion tensor image registration algorithm.  ...  This paper presents a method for deformable registration of diffusion tensor (DT) images that integrates geometry and orientation features into a hierarchical matching framework.  ...  it with the demons algorithm, which is implemented in ITK [15] and is applied to FA images.  ... 
doi:10.1007/978-3-540-85990-1_109 fatcat:b2mm5volhnhxfc5w6txw5awtbu

Symmetric inverse consistent nonlinear registration driven by mutual information

Guozhi Tao, Renjie He, Sushmita Datta, Ponnada A. Narayana
2009 Computer Methods and Programs in Biomedicine  
A nonlinear viscoelastic image registration algorithm based on the demons paradigm and incorporating inverse consistent constraint (ICC) is implemented.  ...  It is shown that with this registration technique: 1) the Jacobian determinant is positive for all voxels and 2) the average ICE is around 0.004 voxels with a maximum value below 0.1 voxel.  ...  Acknowledgments This work is supported by the National Institutes of Health grant R01 EB02095 to PAN.  ... 
doi:10.1016/j.cmpb.2009.01.011 pmid:19268386 pmcid:PMC2744864 fatcat:c4gjl5n4afbexibmdx7j6ohgpy

An atlas-based geometry pipeline for cardiac Hermite model construction and diffusion tensor reorientation

Yongjie Zhang, Xinghua Liang, Jun Ma, Yiming Jing, Matthew J. Gonzales, Christopher Villongco, Adarsh Krishnamurthy, Lawrence R. Frank, Vishal Nigam, Paul Stark, Sanjiv M. Narayan, Andrew D. McCulloch
2012 Medical Image Analysis  
This registration method is fully-automatic, and avoids manual operations required by segmentation and path extraction.  ...  We also develop a robust optical flow approach to deform the constructed atlas and align it with the image from a second patient.  ...  The research at UCSD was supported by NIH grants P41 RR08605, R01 HL096544 (ADM), R01 HL83359 (SMN), K24 HL103800 (SMN), R01 HL091036 (ADM), 5R01MH64729-5 and 5R01MH75870-4.  ... 
doi:10.1016/j.media.2012.06.005 pmid:22841777 pmcid:PMC3443263 fatcat:f34kh667ybcbpjgdcb2pzbsaqq

Iconic feature based nonrigid registration: the PASHA algorithm

Pascal Cachier, Eric Bardinet, Didier Dormont, Xavier Pennec, Nicholas Ayache
2003 Computer Vision and Image Understanding  
We compare our algorithm with other registration approaches, and show the advantages of this energy.  ...  In this paper, we first propose a new subdivision of the image information axis used for the classification of nonrigid registration algorithms.  ...  We show that this energy generalizes the ''demons'' algorithm, as well as FeldmarÕs ''generalized ICP,'' and enables a better insight of the behavior of these algorithms.  ... 
doi:10.1016/s1077-3142(03)00002-x fatcat:xbdeqhinpjfg3acqfncfechl5i

Demons deformable registration of CT and cone-beam CT using an iterative intensity matching approach

Sajendra Nithiananthan, Sebastian Schafer, Ali Uneri, Daniel J. Mirota, J. Webster Stayman, Wojciech Zbijewski, Kristy K. Brock, Michael J. Daly, Harley Chan, Jonathan C. Irish, Jeffrey H. Siewerdsen
2011 Medical Physics (Lancaster)  
Methods: A variant of the Demons algorithm was developed in which an estimate of the relationship between CT and CBCT intensity values for specific materials in the image is computed at each iteration  ...  The method preserves the speed and simplicity of the popular Demons algorithm while providing robustness and accuracy in the presence of large mismatch between CT and CBCT voxel values ͑"intensity"͒.  ...  This work benefited from the use of the Insight Segmentation and Registration Toolkit ͑ITK, U.S. National Library of Medicine͒. a͒  ... 
doi:10.1118/1.3555037 pmid:21626913 pmcid:PMC3069990 fatcat:qpzyllgzorfibhahio5huue774

iLogDemons: A Demons-Based Registration Algorithm for Tracking Incompressible Elastic Biological Tissues

Tommaso Mansi, Xavier Pennec, Maxime Sermesant, Hervé Delingette, Nicholas Ayache
2010 International Journal of Computer Vision  
Tracking soft tissues in medical images using nonlinear image registration algorithms requires methods that are fast and provide spatial transformations consistent with the biological characteristics of  ...  As the elastic regulariser and the constraint are linear, the method remains computationally tractable and easy to implement.  ...  Insights into LogDemons Regularisation: From Diffusion to Elastic-Like Regularisation Insights into LogDemons Gaussian Regularisation A consistent mathematical formulation of the Gaussian-based logDemons  ... 
doi:10.1007/s11263-010-0405-z fatcat:5zxwztuxe5ah5ek4umxw2wvvwq

SIFT and Shape Context for Feature-Based Nonlinear Registration of Thoracic CT Images [chapter]

Martin Urschler, Joachim Bauer, Hendrik Ditt, Horst Bischof
2006 Lecture Notes in Computer Science  
The quantitative and qualitative evaluations show lower runtime and superior results when compared to the Demons algorithm.  ...  In this work a feature-based image registration method is proposed that combines runtime efficiency with good registration accuracy by making use of a fully automatic feature matching and registration  ...  The algorithms performance is compared to the widely used Demons [4] algorithm. Its implementation was taken from the Insight Segmentation and Registration Toolkit 1 .  ... 
doi:10.1007/11889762_7 fatcat:srxguoqnhzby7dnwj4tang5fei

Development of a Novel Post-processing Treatment Planning Platform for 4D Radiotherapy

Lan Lin, Chengyu Shi, Yaxi Liu, Gregory Swanson, Nikos Papanikolaou
2008 Technology in Cancer Research and Treatment  
Contours were automatically propagated into the moving phase using the image registration results.  ...  Demons-based deformable registrations were performed to map the moving phase images (such as the endinhalation phase or 0% phase) to the reference phase (typically the end-exhalation fixed phase or 50%  ...  The rigid registration algorithm and non-rigid demons deformable registration algorithm were implanted on the open source Insight Toolkit (ITK, www. itk.org/) and implemented in C++ programming language  ... 
doi:10.1177/153303460800700205 pmid:18345701 pmcid:PMC2664298 fatcat:aagttrkjdnem5lulux6epcapee

Nonlinear Image Registration and Pixel Classification Pipeline for the Study of Tumor Heterogeneity Maps

Laura Nicolás-Sáenz, Sara Guerrero-Aspizua, Javier Pascau, Arrate Muñoz-Barrutia
2020 Entropy  
However, accurate registration of histopathological images comes with three main problems: the high amount of artifacts due to the complex biopsy preparation, the size of the images, and the complexity  ...  This was done using different antigen stains for each tissue section and proceeding with a complex image registration followed by a final step of color segmentation to detect the exact location of the  ...  Acknowledgments: The authors would like to thank Laura Quintana and Claire Brooks for the help with the manual annotations. Conflicts of Interest: The authors declare no conflict of interest.  ... 
doi:10.3390/e22090946 pmid:33286715 fatcat:7rb34kzntfcybijozken2fn7su

Advances and challenges in deformable image registration: From image fusion to complex motion modelling

Julia A. Schnabel, Mattias P. Heinrich, Bartłomiej W. Papież, Sir J. Michael Brady
2016 Medical Image Analysis  
Moving outside of the brain, cine imaging and dynamic imaging required the development of deformable image registration to directly measure or compensate for local tissue motion.  ...  • We discuss remaining challenges and provide future perspectives to the field of deformable registration Advances and Challenges in Deformable Image Registra8on: From Image Fusion to Complex Mo8on Modelling  ...  Acknowledgments The authors wish to acknowledge funding 270 from CRUK and EPSRC, and the contributions of other researchers associated with their laboratories, including but not limited to: Amalia Cifor  ... 
doi:10.1016/j.media.2016.06.031 pmid:27364430 fatcat:ug7aw3jbhbb2xe5qrwhd3qbitu

Subject-Specific Head Model Generation by Mesh Morphing: A Personalization Framework and Its Applications

Xiaogai Li
2021 Frontiers in Bioengineering and Biotechnology  
The framework consists of hierarchical multiple feature and multimodality imaging registrations, mesh morphing, and mesh grouping, which is shown to be efficient with a heterogeneous dataset including  ...  The family of the generated head models allows studying age-dependent and groupwise brain injury mechanisms.  ...  Note that the multiple feature steps can be combined into one image with multiple binary masks and perform Demons registration at once.  ... 
doi:10.3389/fbioe.2021.706566 pmid:34733827 pmcid:PMC8558307 fatcat:zhwituvbenevhf2femzyfgfpnm
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