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Robust voxel similarity metrics for the registration of dissimilar single and multimodal images

Christophoros Nikou, Fabrice Heitz, Jean-Paul Armspach
1999 Pattern Recognition  
Three case studies are considered: the registration of single modal and multimodal 3D medical images, the matching of multispectral remotely sensed images, and the registration of intensity and range images  ...  In this paper, we develop data driven registration algorithms, relying on pixel similarity metrics, that enable an accurate (subpixel) rigid registration of dissimilar single or multimodal 2D/3D images  ...  Denis Bruckert (Groupement de Recherche en TeH leH deH tection et RadiomeH trie, LSIIT) for providing the NOAA images and Dr.  ... 
doi:10.1016/s0031-3203(98)00167-8 fatcat:bb5keysqhjhalp2sxsdtam5eay

Single- and multimodal subvoxel registration of dissimilar medical images using robust similarity measures

Christophoros Nikou, Fabrice Heitz, Jean-Paul Armspach, Izzie-Jacques Namer, Kenneth M. Hanson
1998 Medical Imaging 1998: Image Processing  
In the present p a p e r , w e d e v elop data driven registration algorithms, relying on robust pixel similarity metrics, that enable an accurate (subvoxel) rigid registration of dissimilar single or  ...  Two case studies are considered : the registration of MR/MR and MR/SPECT image volumes of patients su ering from multiple sclerosis and epilepsy.  ...  ACKNOWLEDGEMENTS The study has been supported by the Commission of the European Communities, DG XII, in the framework of the TMR program (Training and Mobility of Researchers), contract Nr ERBFMIBCT960701  ... 
doi:10.1117/12.310863 dblp:conf/miip/NikouHAN98 fatcat:b3neddypqvaprod7tr47ohl34m

Laplacian eigenmaps for multimodal groupwise image registration

Mathias Polfliet, Stefan Klein, Wiro J. Niessen, Jef Vandemeulebroucke, Martin A. Styner, Elsa D. Angelini
2017 Medical Imaging 2017: Image Processing  
The results show increased accuracy and robustness compared to other state-of-the-art groupwise registration methodologies.  ...  both the number of modalities and number of images under consideration.  ...  Registering a group of multimodal images can be performed by choosing a single image as a reference and registering all other images to this single reference image.  ... 
doi:10.1117/12.2248719 dblp:conf/miip/PolflietKNV17 fatcat:oe3etpplzvekblv6vomdyadkma

Registration of MR/MR and MR/SPECT Brain Images by Fast Stochastic Optimization of Robust Voxel Similarity Measures

Christophoros Nikou, Fabrice Heitz, Jean-Paul Armspach, Izzie-Jacques Namer, Daniel Grucker
1998 NeuroImage  
This paper describes a robust, fully automated algorithm to register intrasubject 3D single and multimodal images of the human brain.  ...  The fast simulated annealing algorithm combined with robust estimation yields registration errors that are less than 1°in rotation and less than 1 voxel in translation (image dimensions of 128 3 ).  ...  Similarity measures have been proposed for both single and multimodal medical image registration.  ... 
doi:10.1006/nimg.1998.0335 pmid:9698573 fatcat:4py6ts3y4vbkhnmsm4kev7igji

miLBP: a robust and fast modality-independent 3D LBP for multimodal deformable registration

Dongsheng Jiang, Yonghong Shi, Demin Yao, Manning Wang, Zhijian Song
2016 International Journal of Computer Assisted Radiology and Surgery  
Furthermore, in the most challenging registration between preoperative magnetic resonance imaging and intra-operative ultrasound images, our approach significantly outperforms the state-of-the-art methods  ...  Methods This paper introduces a novel robust and fast modality-independent 3D binary descriptor, called miLBP, which integrates the principle of local self-similarity with a form of local binary pattern  ...  Inspired by the promising results of local self-similaritybased descriptors in medical image registration and the fast and robust property of binary descriptors, in this paper, we present a novel robust  ... 
doi:10.1007/s11548-016-1407-2 pmid:27250854 pmcid:PMC4893381 fatcat:ve5inh34xffyzidwjqdxtveiui

Learning-Based Multimodal Image Registration for Prostate Cancer Radiation Therapy [chapter]

Xiaohuan Cao, Yaozong Gao, Jianhua Yang, Guorong Wu, Dinggang Shen
2016 Lecture Notes in Computer Science  
In this paper, we propose a learning-based approach for multimodal image registration.  ...  Then, MRI-to-CT registration is steered in a dual manner of registering images with same appearances, i.e., (1) registering the synthesized CT with CT, and (2) also registering MRI with the synthesized  ...  The consistently higher DSC and lower SASD and HAUS by our proposed method demonstrate both its robustness and accuracy in multimodal image registration.  ... 
doi:10.1007/978-3-319-46726-9_1 pmid:28975161 pmcid:PMC5621733 fatcat:feaetdgnhvfqllbneutpd6372q

Robust Image Registration using Mixtures of t-distributions

Demetrios Gerogiannis, Christophoros Nikou, Aristidis Likas
2007 2007 IEEE 11th International Conference on Computer Vision  
We propose a pixel similarity-based algorithm enabling accurate rigid registration between single and multimodal images presenting gross dissimilarities due to noise, missing data or outlying measures.  ...  Experimental results indicate that, even in the case of images presenting low SNR or important amount of dissimilarities due to temporal changes, the proposed algorithm compares favorably to the histogram-based  ...  Tzavaras, Laboratory of General Biology, School of Medicine, University of Ioannina, for providing the cell images and Dr. J. P.  ... 
doi:10.1109/iccv.2007.4409127 dblp:conf/iccv/GerogiannisNL07 fatcat:4aponbpicvedrmgdvi5c5tgjci

Comparison and extension of three methods for automated registration of multimodal plant images

Michael Henke, Astrid Junker, Kerstin Neumann, Thomas Altmann, Evgeny Gladilin
2019 Plant Methods  
The performance of registration methods is validated in terms of robustness and accuracy measured by a direct comparison with manually segmented images of different plants.  ...  Consequently, it is not clear a priori what image features and registration techniques are suitable for the alignment of various multimodal plant images.  ...  Acknowledgements We would like to thank Mohammad-Reza Hajirezaei from the Molecular Plant Nutrition Group of IPK Gatersleben for kindly providing the image data of the Arabidopsis growth experiment.  ... 
doi:10.1186/s13007-019-0426-8 pmid:31168314 pmcid:PMC6487531 fatcat:xrrnecd2rjbudfx4vnxvlp6f7y

Warning navigation system using real-time safe region monitoring for otologic surgery

Byunghyun Cho, Masamichi Oka, Nozomu Matsumoto, Riichi Ouchida, Jaesung Hong, Makoto Hashizume
2012 International Journal of Computer Assisted Radiology and Surgery  
Furthermore, in the most challenging registration between preoperative magnetic resonance imaging and intra-operative ultrasound images, our approach significantly outperforms the state-of-the-art methods  ...  However, multimodal deformable registration remains a challenging task.  ...  ), the National High Technology Research and Development Program (2015AA020507), Science and Technology Commission of Shanghai Municipality (No. 15441905500) and Zhejiang Public Technology Research Program  ... 
doi:10.1007/s11548-012-0797-z pmid:23161169 fatcat:mstjdxgbfvhibpvz3ce7mgnjra

Intraoperative visualization of cerebral oxygenation using hyperspectral image data: a two-dimensional mapping method

Megumu Mori, Toru Chiba, Akira Nakamizo, Ryuichi Kumashiro, Masaharu Murata, Tomohiko Akahoshi, Morimasa Tomikawa, Yuichiro Kikkawa, Koji Yoshimoto, Masahiro Mizoguchi, Tomio Sasaki, Makoto Hashizume
2014 International Journal of Computer Assisted Radiology and Surgery  
Furthermore, in the most challenging registration between preoperative magnetic resonance imaging and intra-operative ultrasound images, our approach significantly outperforms the state-of-the-art methods  ...  However, multimodal deformable registration remains a challenging task.  ...  ), the National High Technology Research and Development Program (2015AA020507), Science and Technology Commission of Shanghai Municipality (No. 15441905500) and Zhejiang Public Technology Research Program  ... 
doi:10.1007/s11548-014-0989-9 pmid:24737109 fatcat:rr4wsorkdne4nkjwyokwodhhve

Deep Learning Based Inter-modality Image Registration Supervised by Intra-modality Similarity [chapter]

Xiaohuan Cao, Jianhuan Yang, Li Wang, Zhong Xue, Qian Wang, Dinggang Shen
2018 Lecture Notes in Computer Science  
In this paper, we propose to train a non-rigid inter-modality image registration network, which can directly predict the transformation field from the input multimodal images, such as CT and MR images.  ...  In the testing stage, the trained inter-modality registration network can be directly applied to register the new multimodal images without any paired data.  ...  Fig. 1 . 1 An example of the multimodal images: pelvic CT and MR images from the same subject after affine registration. Local deformations are obvious in bladder, prostate and rectum.  ... 
doi:10.1007/978-3-030-00919-9_7 pmid:31098597 pmcid:PMC6516490 fatcat:dvtuxr5scbd6xiplu6kf4my2nq

A FULLY AUTOMATED INCREMENTAL PHOTOGRAMMETRIC PROCESSING DEDICATED FOR COLLABORATIVE REMOTE-COMPUTING WORKFLOW

A. Pamart, F. Morlet, L. de Luca
2019 The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences  
In order to fully benefit of collaborative semantic enrichment of spatially oriented resources, a versatile and robust solution have been developed to enable incremental registration of image-sets within  ...  Current use of SFM and photogrammetric methods implies their extensions to facilitate the management of complex multimodal data sets carried-out by different experts around a single heritage asset.  ...  Support of spherical images • Integration of new descriptors like Maximal Self-Dissimilarity or Mutual Information to endorse radiometric robustness of image matching • Extension of automatic GCP's extraction  ... 
doi:10.5194/isprs-archives-xlii-2-w9-565-2019 fatcat:h4mbyix7obbfrjjc2pdb37x4xy

Multichannel Image Registration using Gabor Wavelet Transform

Jisha. M.R
2013 IOSR Journal of Electronics and Communication Engineering  
Experiments on both simulated and real multichannel images illustrate the applicability and robustness of the proposed registration method that combines information across modalities.  ...  Multichannel images are created by coregistering multimodality images of the same subject to utilize information across modalities comprehensively.  ...  Acknowledgement The author would like to acknowledge the help from the work of Yang Li and Ragini Verma  ... 
doi:10.9790/2834-0833136 fatcat:th7zyy73pnaifplofgfde4qt2i

A Deep Metric for Multimodal Registration [chapter]

Martin Simonovsky, Benjamín Gutiérrez-Becker, Diana Mateus, Nassir Navab, Nikos Komodakis
2016 Lecture Notes in Computer Science  
ALBERTs atlases are copyrighted by Imperial College of Science, Technology and Medicine and Ioannis S. Gousias 2013. B. Gutiérrez-Becker thanks the financial support of CONACYT and the DAAD.  ...  Introduction Multimodal registration is a very challenging problem in medical imaging commonly faced during image-guided interventions and data fusion [13] .  ...  To the best of our knowledge, this is the first time that CNNs are used in the context of multimodal medical image registration.  ... 
doi:10.1007/978-3-319-46726-9_2 fatcat:qykk3vd3i5hkvoayhszv6lewsa

A Comparative study of the Image Registration Process on the Multimodal Medical Images

Nitin Arora
2017 Asia-pacific Journal of Convergent Research Interchange  
In this paper, we perform a comparative study of the image registration process on the multimodal medical images by using different genetic algorithm.  ...  Registration of image is the process of overlaying one or more image to a reference image of the same image taken at different time, from different view point or taken from different sensor device.  ...  Registration based on the MI is robust and can be used for a large class of images acquired by the same/different sensors.  ... 
doi:10.21742/apjcri.2017.03.01 fatcat:lkbcs43owbgrjphwggflvi3ad4
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